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Log delle modifiche della versione dell'API per la distribuzione di Microsoft.MachineLearningServices/workspaces/jobs

Questo articolo descrive le proprietà modificate in ogni versione dell'API per Microsoft.MachineLearningServices/workspaces/jobs. Vengono illustrate solo le proprietà disponibili durante le distribuzioni.

2024-04-01

Aggiunto:

  • resources.properties
  • resources.properties. {proprietà personalizzata}
  • taskDetails.blockedTrainingAlgorithms
  • taskDetails.enableDnnTraining
  • taskDetails.enableModelExplainability
  • taskDetails.enableOnnxCompatibleModels
  • taskDetails.enableStackEnsemble
  • taskDetails.enableVoteEnsemble
  • taskDetails.ensembleModelDownloadTimeout
  • taskDetails.stackEnsembleSettings
  • taskDetails.stackEnsembleSettings.stackMetaLearnerKWargs
  • taskDetails.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • taskDetails.stackEnsembleSettings.stackMetaLearnerType
  • validationDataSize
  • weightColumnName
  • cvSplitColumnNames
  • Parametri
  • forecastingSettings
  • forecastingSettings.countryOrRegionForHolidays
  • forecastingSettings.cvStepSize
  • forecastingSettings.featureLags
  • forecastingSettings.forecastHorizon
  • forecastingSettings.forecastHorizon.mode
  • forecastingSettings.forecastHorizon.value
  • forecastingSettings.frequency
  • forecastingSettings.seasonality
  • forecastingSettings.seasonality.mode
  • forecastingSettings.seasonality.value
  • forecastingSettings.shortSeriesHandlingConfig
  • forecastingSettings.targetAggregateFunction
  • forecastingSettings.targetLags
  • forecastingSettings.targetLags.mode
  • forecastingSettings.targetLags.values
  • forecastingSettings.targetLags.policyType
  • forecastingSettings.targetLags.truncationPercentage
  • forecastingSettings.targetRollingWindowSize
  • forecastingSettings.targetRollingWindowSize.mode
  • forecastingSettings.targetRollingWindowSize.value
  • forecastingSettings.timeColumnName
  • forecastingSettings.timeSeriesIdColumnNames
  • forecastingSettings.timeSeriesIdColumnNames.useStl
  • forecastingSettings.limitSettings
  • forecastingSettings.limitSettings.enableEarlyTermination
  • forecastingSettings.limitSettings.exitScore
  • forecastingSettings.limitSettings.maxConcurrentTrials
  • forecastingSettings.limitSettings.maxCoresPerTrial
  • forecastingSettings.limitSettings.maxTrials
  • forecastingSettings.limitSettings.timeout
  • forecastingSettings.limitSettings.trialTimeout
  • forecastingSettings.nCrossValidations
  • forecastingSettings.nCrossValidations.mode
  • forecastingSettings.nCrossValidations.value
  • forecastingSettings.primaryMetric
  • forecastingSettings.testData
  • forecastingSettings.testData.description
  • forecastingSettings.testData.jobInputType
  • forecastingSettings.testData.mode
  • forecastingSettings.testData.uri
  • forecastingSettings.testDataSize
  • forecastingSettings.trainingSettings
  • forecastingSettings.trainingSettings.allowedTrainingAlgorithms
  • forecastingSettings.trainingSettings.uri
  • forecastingSettings.validationDataSize
  • forecastingSettings.weightColumnName
  • forecastingSettings.taskType
  • forecastingSettings.modelSettings
  • forecastingSettings.modelSettings.advancedSettings
  • forecastingSettings.modelSettings.amsGradient
  • forecastingSettings.modelSettings.augmentations
  • forecastingSettings.modelSettings.beta1
  • forecastingSettings.modelSettings.beta2
  • forecastingSettings.modelSettings.checkpointFrequency
  • forecastingSettings.modelSettings.checkpointModel
  • forecastingSettings.modelSettings.checkpointModel.description
  • forecastingSettings.modelSettings.checkpointModel.jobInputType
  • forecastingSettings.modelSettings.checkpointModel.mode
  • forecastingSettings.modelSettings.checkpointModel.uri
  • forecastingSettings.modelSettings.checkpointRunId
  • forecastingSettings.modelSettings.distributed
  • forecastingSettings.modelSettings.earlyStopping
  • forecastingSettings.modelSettings.earlyStoppingDelay
  • forecastingSettings.modelSettings.earlyStoppingPatience
  • forecastingSettings.modelSettings.enableOnnxNormalization
  • forecastingSettings.modelSettings.evaluationFrequency
  • forecastingSettings.modelSettings.gradientAccumulationStep
  • forecastingSettings.modelSettings.layersToFreeze
  • forecastingSettings.modelSettings.learningRate
  • forecastingSettings.modelSettings.learningRateScheduler
  • forecastingSettings.modelSettings.modelName
  • forecastingSettings.modelSettings.momentum
  • forecastingSettings.modelSettings.nesterov
  • forecastingSettings.modelSettings.numberOfEpochs
  • forecastingSettings.modelSettings.numberOfWorkers
  • forecastingSettings.modelSettings.optimizer
  • forecastingSettings.modelSettings.randomSeed
  • forecastingSettings.modelSettings.stepLRGamma
  • forecastingSettings.modelSettings.stepLRStepSize
  • forecastingSettings.modelSettings.trainingBatchSize
  • forecastingSettings.modelSettings.trainingCropSize
  • forecastingSettings.modelSettings.validationBatchSize
  • forecastingSettings.modelSettings.validationCropSize
  • forecastingSettings.modelSettings.validationResizeSize
  • forecastingSettings.modelSettings.warmupCosineLRCycles
  • forecastingSettings.modelSettings.warmupCosineLRWarmupEpochs
  • forecastingSettings.modelSettings.weightDecay
  • forecastingSettings.modelSettings.weightedLoss
  • forecastingSettings.searchSpace
  • forecastingSettings.evaluationFrequency
  • forecastingSettings.gradientAccumulationStep
  • forecastingSettings.layersToFreeze
  • forecastingSettings.learningRate
  • forecastingSettings.learningRateScheduler
  • forecastingSettings.modelName
  • forecastingSettings.momentum
  • forecastingSettings.nesterov
  • forecastingSettings.numberOfEpochs
  • forecastingSettings.numberOfWorkers
  • forecastingSettings.optimizer
  • forecastingSettings.randomSeed
  • forecastingSettings.stepLRGamma
  • forecastingSettings.stepLRStepSize
  • forecastingSettings.trainingBatchSize
  • forecastingSettings.trainingCropSize
  • forecastingSettings.validationBatchSize
  • forecastingSettings.validationCropSize
  • forecastingSettings.validationResizeSize
  • forecastingSettings.warmupCosineLRCycles
  • forecastingSettings.warmupCosineLRWarmupEpochs
  • forecastingSettings.weightDecay
  • forecastingSettings.weightedLoss
  • earlyStoppingPatience
  • enableOnnxNormalization
  • evaluationFrequency
  • gradientAccumulationStep
  • trainingSettings.blockedTrainingAlgorithms
  • trainingSettings.enableModelExplainability
  • trainingSettings.enableOnnxCompatibleModels
  • trainingSettings.enableStackEnsemble
  • trainingSettings.enableVoteEnsemble
  • trainingSettings.ensembleModelDownloadTimeout
  • trainingSettings.stackEnsembleSettings
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerType
  • archives.args
  • archives.codeId
  • archives.conf
  • archives.conf. {proprietà personalizzata}
  • archives.entry
  • archives.entry.sparkJobEntryType
  • archives.entry.file
  • archives.entry.className
  • archives.environmentId
  • archives.environmentVariables
  • archives.environmentVariables. {proprietà personalizzata}
  • archives.files
  • archives.resources
  • archives.resources.dockerArgs
  • archives.resources.instanceCount
  • archives.resources.instanceType
  • archives.resources.properties
  • archives.resources.properties. {proprietà personalizzata}
  • archives.resources.shmSize

Lontano:

  • secretsConfiguration
  • secretsConfiguration. {proprietà personalizzata}
  • secretsConfiguration.uri
  • secretsConfiguration.workspaceSecretName
  • outputs.assetName
  • outputs.assetVersion
  • outputs.autoDeleteSetting
  • outputs.autoDeleteSetting.condition
  • outputs.autoDeleteSetting.value
  • outputs.pathOnCompute
  • queueSettings.priority
  • resources.locations
  • taskDetails.trainingData.pathOnCompute
  • taskDetails.timeout
  • taskDetails.trialTimeout
  • positiveLabel
  • searchSpace.booster
  • searchSpace.boostingType
  • searchSpace.growPolicy
  • searchSpace.learningRate
  • searchSpace.maxBin
  • searchSpace.maxDepth
  • searchSpace.maxLeaves
  • searchSpace.minDataInLeaf
  • searchSpace.minSplitGain
  • searchSpace.modelName
  • searchSpace.nEstimators
  • searchSpace.numLeaves
  • searchSpace.preprocessorName
  • searchSpace.regAlpha
  • searchSpace.regLambda
  • searchSpace.subsample
  • searchSpace.subsampleFreq
  • searchSpace.treeMethod
  • searchSpace.withMean
  • searchSpace.withStd
  • sweepSettings
  • sweepSettings.earlyTermination
  • sweepSettings.earlyTermination.delayEvaluation
  • sweepSettings.earlyTermination.evaluationInterval
  • sweepSettings.earlyTermination.policyType
  • sweepSettings.earlyTermination.slackAmount
  • sweepSettings.earlyTermination.slackFactor
  • sweepSettings.earlyTermination.truncationPercentage
  • sweepSettings.samplingAlgorithm
  • testData.pathOnCompute
  • trainingSettings.cvSplitColumnNames
  • trainingSettings.cvSplitColumnNames.featurizationSettings
  • trainingSettings.cvSplitColumnNames.featurizationSettings.blockedTransformers
  • trainingSettings.fixedParameters
  • trainingSettings.fixedParameters.booster
  • trainingSettings.fixedParameters.boostingType
  • trainingSettings.fixedParameters.growPolicy
  • trainingSettings.fixedParameters.learningRate
  • trainingSettings.fixedParameters.maxBin
  • trainingSettings.fixedParameters.maxDepth
  • trainingSettings.fixedParameters.maxLeaves
  • trainingSettings.fixedParameters.minDataInLeaf
  • trainingSettings.fixedParameters.minSplitGain
  • trainingSettings.fixedParameters.modelName
  • trainingSettings.fixedParameters.nEstimators
  • trainingSettings.fixedParameters.numLeaves
  • trainingSettings.fixedParameters.preprocessorName
  • trainingSettings.fixedParameters.regAlpha
  • trainingSettings.fixedParameters.regLambda
  • trainingSettings.fixedParameters.subsample
  • trainingSettings.fixedParameters.subsampleFreq
  • trainingSettings.fixedParameters.treeMethod
  • trainingSettings.fixedParameters.withMean
  • trainingSettings.fixedParameters.withStd
  • trainingSettings.forecastingSettings
  • trainingSettings.forecastingSettings.countryOrRegionForHolidays
  • trainingSettings.forecastingSettings.cvStepSize
  • trainingSettings.forecastingSettings.featureLags
  • trainingSettings.forecastingSettings.featuresUnknownAtForecastTime
  • trainingSettings.forecastingSettings.mode
  • trainingSettings.forecastingSettings.value
  • trainingSettings.frequency
  • trainingSettings.seasonality
  • trainingSettings.seasonality.mode
  • trainingSettings.seasonality.value
  • trainingSettings.shortSeriesHandlingConfig
  • trainingSettings.targetAggregateFunction
  • trainingSettings.targetLags
  • trainingSettings.targetLags.mode
  • trainingSettings.targetLags.values
  • trainingSettings.targetLags.jobInputType
  • trainingSettings.targetLags.value
  • trainingSettings.targetLags.pathOnCompute
  • trainingSettings.targetLags.uri
  • trainingSettings.targetRollingWindowSize
  • trainingSettings.targetRollingWindowSize.mode
  • trainingSettings.targetRollingWindowSize.value
  • trainingSettings.timeColumnName
  • trainingSettings.timeSeriesIdColumnNames
  • trainingSettings.minSplitGain
  • trainingSettings.modelName
  • trainingSettings.nEstimators
  • trainingSettings.numLeaves
  • trainingSettings.preprocessorName
  • trainingSettings.regAlpha
  • trainingSettings.regLambda
  • trainingSettings.subsample
  • trainingSettings.subsampleFreq
  • trainingSettings.treeMethod
  • trainingSettings.withMean
  • trainingSettings.withStd
  • trainingSettings.limitSettings
  • trainingSettings.limitSettings.maxConcurrentTrials
  • trainingSettings.limitSettings.maxTrials
  • trainingSettings.limitSettings.timeout
  • trainingSettings.modelSettings
  • trainingSettings.modelSettings.advancedSettings
  • trainingSettings.modelSettings.amsGradient
  • trainingSettings.modelSettings.augmentations
  • trainingSettings.modelSettings.beta1
  • trainingSettings.modelSettings.beta2
  • trainingSettings.modelSettings.checkpointFrequency
  • trainingSettings.modelSettings.checkpointModel
  • trainingSettings.modelSettings.checkpointModel.description
  • trainingSettings.modelSettings.checkpointModel.jobInputType
  • trainingSettings.modelSettings.checkpointModel.mode
  • trainingSettings.modelSettings.checkpointModel.pathOnCompute
  • trainingSettings.modelSettings.checkpointModel.uri
  • trainingSettings.modelSettings.checkpointRunId
  • trainingSettings.modelSettings.distributed
  • trainingSettings.modelSettings.earlyStopping
  • trainingSettings.modelSettings.earlyStoppingDelay
  • trainingSettings.modelSettings.earlyStoppingPatience
  • trainingSettings.modelSettings.enableOnnxNormalization
  • trainingSettings.modelSettings.evaluationFrequency
  • trainingSettings.modelSettings.gradientAccumulationStep
  • trainingSettings.modelSettings.layersToFreeze
  • trainingSettings.modelSettings.learningRate
  • trainingSettings.modelSettings.learningRateScheduler
  • trainingSettings.modelSettings.modelName
  • trainingSettings.modelSettings.momentum
  • trainingSettings.modelSettings.nesterov
  • trainingSettings.modelSettings.numberOfEpochs
  • trainingSettings.modelSettings.numberOfWorkers
  • trainingSettings.modelSettings.optimizer
  • trainingSettings.modelSettings.randomSeed
  • trainingSettings.modelSettings.stepLRGamma
  • trainingSettings.modelSettings.stepLRStepSize
  • trainingSettings.modelSettings.trainingBatchSize
  • trainingSettings.modelSettings.trainingCropSize
  • trainingSettings.modelSettings.validationBatchSize
  • trainingSettings.modelSettings.validationCropSize
  • trainingSettings.modelSettings.validationResizeSize
  • trainingSettings.modelSettings.warmupCosineLRCycles
  • trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
  • trainingSettings.modelSettings.weightDecay
  • trainingSettings.modelSettings.weightedLoss
  • trainingSettings.primaryMetric
  • trainingSettings.searchSpace
  • trainingSettings.learningRateScheduler
  • trainingSettings.momentum
  • trainingSettings.nesterov
  • trainingSettings.numberOfEpochs
  • trainingSettings.numberOfWorkers
  • trainingSettings.optimizer
  • trainingSettings.randomSeed
  • trainingSettings.stepLRGamma
  • trainingSettings.stepLRStepSize
  • trainingSettings.trainingBatchSize
  • trainingSettings.trainingCropSize
  • trainingSettings.validationBatchSize
  • trainingSettings.validationCropSize
  • trainingSettings.validationResizeSize
  • trainingSettings.warmupCosineLRCycles
  • trainingSettings.warmupCosineLRWarmupEpochs
  • trainingSettings.weightDecay
  • trainingSettings.weightedLoss
  • logTrainingMetrics
  • logValidationLoss
  • maxBin
  • maxDepth
  • maxLeaves
  • minDataInLeaf
  • minSplitGain
  • nEstimators
  • numLeaves
  • preprocessorName
  • regAlpha
  • regLambda
  • sottosample
  • subsampleFreq
  • treeMethod
  • withMean
  • withStd
  • limitSettings.maxNodes
  • limitSettings.sweepConcurrentTrials
  • limitSettings.sweepTrials
  • trainingSettings.featurizationSettings
  • trainingSettings.featurizationSettings.datasetLanguage
  • trainingSettings.fixedParameters.gradientAccumulationSteps
  • trainingSettings.fixedParameters.learningRateScheduler
  • trainingSettings.fixedParameters.numberOfEpochs
  • trainingSettings.fixedParameters.trainingBatchSize
  • trainingSettings.fixedParameters.validationBatchSize
  • trainingSettings.fixedParameters.warmupRatio
  • trainingSettings.fixedParameters.weightDecay
  • trainingSettings.limitSettings.maxNodes
  • trainingSettings.limitSettings.trialTimeout
  • trainingSettings.gradientAccumulationSteps
  • trainingSettings.learningRate
  • trainingSettings.warmupRatio
  • validationData.pathOnCompute
  • fixedParameters
  • fixedParameters.gradientAccumulationSteps
  • fixedParameters.learningRate
  • fixedParameters.learningRateScheduler
  • fixedParameters.modelName
  • fixedParameters.numberOfEpochs
  • fixedParameters.trainingBatchSize
  • fixedParameters.validationBatchSize
  • fixedParameters.warmupRatio
  • fixedParameters.weightDecay
  • warmupRatio
  • autologgerSettings
  • autologgerSettings.mlflowAutologger
  • distribution.address
  • distribution.dashboardPort
  • distribution.headNodeAdditionalArgs
  • distribution.includeDashboard
  • distribution.port
  • distribution.workerNodeAdditionalArgs
  • inputs.pathOnCompute
  • resources.outputs
  • resources.outputs. {proprietà personalizzata}
  • resources.outputs.description
  • resources.outputs.jobOutputType
  • resources.outputs.assetName
  • resources.outputs.assetVersion
  • resources.outputs.autoDeleteSetting
  • resources.outputs.autoDeleteSetting.condition
  • resources.outputs.autoDeleteSetting.value
  • resources.outputs.mode
  • resources.outputs.pathOnCompute
  • resources.outputs.uri
  • dataConfiguration
  • dataConfiguration.dataId
  • dataConfiguration.incrementalDataRefresh
  • jobInstructions
  • jobInstructions.uri
  • labelCategories
  • labelCategories. {proprietà personalizzata}
  • labelCategories.classes
  • labelCategories.classes. {proprietà personalizzata}
  • labelCategories.classes.displayName
  • labelCategories.classes.subclasses
  • labelCategories.classes.subclasses. {proprietà personalizzata}
  • labelCategories.displayName
  • labelCategories.multiSelect
  • labelingJobMediaProperties
  • labelingJobMediaProperties.mediaType
  • labelingJobMediaProperties.annotationType
  • mlAssistConfiguration
  • mlAssistConfiguration.mlAssist
  • mlAssistConfiguration.inferencingComputeBinding
  • mlAssistConfiguration.trainingComputeBinding
  • campionamentoAlgorithm
  • samplingAlgorithm.samplingAlgorithmType
  • samplingAlgorithm.logbase
  • samplingAlgorithm.rule
  • samplingAlgorithm.seed
  • prova
  • trial.codeId
  • trial.command
  • trial.distribution
  • trial.distribution.distributionType
  • trial.distribution.processCountPerInstance
  • trial.distribution.address
  • trial.distribution.dashboardPort
  • trial.distribution.headNodeAdditionalArgs
  • trial.distribution.includeDashboard
  • trial.distribution.port
  • trial.distribution.workerNodeAdditionalArgs
  • trial.distribution.parameterServerCount
  • trial.distribution.workerCount
  • trial.environmentId
  • trial.environmentVariables
  • trial.environmentVariables. {proprietà personalizzata}
  • trial.resources
  • trial.resources.dockerArgs
  • trial.resources.instanceCount
  • trial.resources.instanceType
  • trial.resources.locations
  • trial.shmSize

Aggiornato:

  • properties.services. {customd property}.properties.outputs. {customized property}.jobOutputType - Aggiunta di valori: 'mlflow_model' (obbligatorio) 'mltable' (obbligatorio) 'triton_model' (obbligatorio) 'uri_file' (obbligatorio) 'uri_folder' (obbligatorio) (obbligatorio)

2024-04-01-preview

Nessuna proprietà nuova o aggiornata

Anteprima 2024-01-01

Aggiunto:

  • properties.notificationSetting
  • properties.notificationSetting.emailOn
  • properties.notificationSetting.emails
  • properties.notificationSetting.webhooks
  • properties.notificationSetting.webhooks. {customd property}
  • properties.notificationSetting.webhooks.eventType
  • properties.notificationSetting.webhooks.webhookType
  • proprietà. {proprietà personalizzata}
  • secretsConfiguration
  • secretsConfiguration. {proprietà personalizzata}
  • secretsConfiguration.uri
  • secretsConfiguration.workspaceSecretName
  • servizi
  • servizi. {proprietà personalizzata}
  • services.endpoint
  • services.jobServiceType
  • services.nodes
  • services.nodes.nodesValueType
  • services.port
  • services.properties
  • services.properties. {proprietà personalizzata}
  • outputs.assetName
  • outputs.assetVersion
  • outputs.autoDeleteSetting
  • outputs.autoDeleteSetting.condition
  • outputs.autoDeleteSetting.value
  • outputs.pathOnCompute
  • queueSettings.priority
  • resources.locations
  • taskDetails.trainingData.pathOnCompute
  • taskDetails.timeout
  • taskDetails.trialTimeout
  • positiveLabel
  • searchSpace.booster
  • searchSpace.boostingType
  • searchSpace.growPolicy
  • searchSpace.learningRate
  • searchSpace.maxBin
  • searchSpace.maxDepth
  • searchSpace.maxLeaves
  • searchSpace.minDataInLeaf
  • searchSpace.minSplitGain
  • searchSpace.modelName
  • searchSpace.nEstimators
  • searchSpace.numLeaves
  • searchSpace.preprocessorName
  • searchSpace.regAlpha
  • searchSpace.regLambda
  • searchSpace.subsample
  • searchSpace.subsampleFreq
  • searchSpace.treeMethod
  • searchSpace.withMean
  • searchSpace.withStd
  • sweepSettings
  • sweepSettings.earlyTermination
  • sweepSettings.earlyTermination.delayEvaluation
  • sweepSettings.earlyTermination.evaluationInterval
  • sweepSettings.earlyTermination.policyType
  • sweepSettings.earlyTermination.slackAmount
  • sweepSettings.earlyTermination.slackFactor
  • sweepSettings.earlyTermination.truncationPercentage
  • sweepSettings.samplingAlgorithm
  • testData.pathOnCompute
  • trainingSettings.cvSplitColumnNames
  • trainingSettings.cvSplitColumnNames.featurizationSettings
  • trainingSettings.cvSplitColumnNames.featurizationSettings.blockedTransformers
  • trainingSettings.fixedParameters
  • trainingSettings.fixedParameters.booster
  • trainingSettings.fixedParameters.boostingType
  • trainingSettings.fixedParameters.growPolicy
  • trainingSettings.fixedParameters.learningRate
  • trainingSettings.fixedParameters.maxBin
  • trainingSettings.fixedParameters.maxDepth
  • trainingSettings.fixedParameters.maxLeaves
  • trainingSettings.fixedParameters.minDataInLeaf
  • trainingSettings.fixedParameters.minSplitGain
  • trainingSettings.fixedParameters.modelName
  • trainingSettings.fixedParameters.nEstimators
  • trainingSettings.fixedParameters.numLeaves
  • trainingSettings.fixedParameters.preprocessorName
  • trainingSettings.fixedParameters.regAlpha
  • trainingSettings.fixedParameters.regLambda
  • trainingSettings.fixedParameters.subsample
  • trainingSettings.fixedParameters.subsampleFreq
  • trainingSettings.fixedParameters.treeMethod
  • trainingSettings.fixedParameters.withMean
  • trainingSettings.fixedParameters.withStd
  • trainingSettings.forecastingSettings
  • trainingSettings.forecastingSettings.countryOrRegionForHolidays
  • trainingSettings.forecastingSettings.cvStepSize
  • trainingSettings.forecastingSettings.featureLags
  • trainingSettings.forecastingSettings.featuresUnknownAtForecastTime
  • trainingSettings.forecastingSettings.mode
  • trainingSettings.forecastingSettings.value
  • trainingSettings.frequency
  • trainingSettings.seasonality
  • trainingSettings.seasonality.mode
  • trainingSettings.seasonality.value
  • trainingSettings.shortSeriesHandlingConfig
  • trainingSettings.targetAggregateFunction
  • trainingSettings.targetLags
  • trainingSettings.targetLags.mode
  • trainingSettings.targetLags.values
  • trainingSettings.targetLags.jobInputType
  • trainingSettings.targetLags.value
  • trainingSettings.targetLags.pathOnCompute
  • trainingSettings.targetLags.uri
  • trainingSettings.targetRollingWindowSize
  • trainingSettings.targetRollingWindowSize.mode
  • trainingSettings.targetRollingWindowSize.value
  • trainingSettings.timeColumnName
  • trainingSettings.timeSeriesIdColumnNames
  • trainingSettings.minSplitGain
  • trainingSettings.modelName
  • trainingSettings.nEstimators
  • trainingSettings.numLeaves
  • trainingSettings.preprocessorName
  • trainingSettings.regAlpha
  • trainingSettings.regLambda
  • trainingSettings.subsample
  • trainingSettings.subsampleFreq
  • trainingSettings.treeMethod
  • trainingSettings.withMean
  • trainingSettings.withStd
  • trainingSettings.limitSettings
  • trainingSettings.limitSettings.maxConcurrentTrials
  • trainingSettings.limitSettings.maxTrials
  • trainingSettings.limitSettings.timeout
  • trainingSettings.modelSettings
  • trainingSettings.modelSettings.advancedSettings
  • trainingSettings.modelSettings.amsGradient
  • trainingSettings.modelSettings.augmentations
  • trainingSettings.modelSettings.beta1
  • trainingSettings.modelSettings.beta2
  • trainingSettings.modelSettings.checkpointFrequency
  • trainingSettings.modelSettings.checkpointModel
  • trainingSettings.modelSettings.checkpointModel.description
  • trainingSettings.modelSettings.checkpointModel.jobInputType
  • trainingSettings.modelSettings.checkpointModel.mode
  • trainingSettings.modelSettings.checkpointModel.pathOnCompute
  • trainingSettings.modelSettings.checkpointModel.uri
  • trainingSettings.modelSettings.checkpointRunId
  • trainingSettings.modelSettings.distributed
  • trainingSettings.modelSettings.earlyStopping
  • trainingSettings.modelSettings.earlyStoppingDelay
  • trainingSettings.modelSettings.earlyStoppingPatience
  • trainingSettings.modelSettings.enableOnnxNormalization
  • trainingSettings.modelSettings.evaluationFrequency
  • trainingSettings.modelSettings.gradientAccumulationStep
  • trainingSettings.modelSettings.layersToFreeze
  • trainingSettings.modelSettings.learningRate
  • trainingSettings.modelSettings.learningRateScheduler
  • trainingSettings.modelSettings.modelName
  • trainingSettings.modelSettings.momentum
  • trainingSettings.modelSettings.nesterov
  • trainingSettings.modelSettings.numberOfEpochs
  • trainingSettings.modelSettings.numberOfWorkers
  • trainingSettings.modelSettings.optimizer
  • trainingSettings.modelSettings.randomSeed
  • trainingSettings.modelSettings.stepLRGamma
  • trainingSettings.modelSettings.stepLRStepSize
  • trainingSettings.modelSettings.trainingBatchSize
  • trainingSettings.modelSettings.trainingCropSize
  • trainingSettings.modelSettings.validationBatchSize
  • trainingSettings.modelSettings.validationCropSize
  • trainingSettings.modelSettings.validationResizeSize
  • trainingSettings.modelSettings.warmupCosineLRCycles
  • trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
  • trainingSettings.modelSettings.weightDecay
  • trainingSettings.modelSettings.weightedLoss
  • trainingSettings.primaryMetric
  • trainingSettings.searchSpace
  • trainingSettings.learningRateScheduler
  • trainingSettings.momentum
  • trainingSettings.nesterov
  • trainingSettings.numberOfEpochs
  • trainingSettings.numberOfWorkers
  • trainingSettings.optimizer
  • trainingSettings.randomSeed
  • trainingSettings.stepLRGamma
  • trainingSettings.stepLRStepSize
  • trainingSettings.trainingBatchSize
  • trainingSettings.trainingCropSize
  • trainingSettings.validationBatchSize
  • trainingSettings.validationCropSize
  • trainingSettings.validationResizeSize
  • trainingSettings.warmupCosineLRCycles
  • trainingSettings.warmupCosineLRWarmupEpochs
  • trainingSettings.weightDecay
  • trainingSettings.weightedLoss
  • logTrainingMetrics
  • logValidationLoss
  • maxBin
  • maxDepth
  • maxLeaves
  • minDataInLeaf
  • minSplitGain
  • nEstimators
  • numLeaves
  • preprocessorName
  • regAlpha
  • regLambda
  • sottosample
  • subsampleFreq
  • treeMethod
  • withMean
  • withStd
  • limitSettings.maxNodes
  • limitSettings.sweepConcurrentTrials
  • limitSettings.sweepTrials
  • trainingSettings.featurizationSettings
  • trainingSettings.featurizationSettings.datasetLanguage
  • trainingSettings.fixedParameters.gradientAccumulationSteps
  • trainingSettings.fixedParameters.learningRateScheduler
  • trainingSettings.fixedParameters.numberOfEpochs
  • trainingSettings.fixedParameters.trainingBatchSize
  • trainingSettings.fixedParameters.validationBatchSize
  • trainingSettings.fixedParameters.warmupRatio
  • trainingSettings.fixedParameters.weightDecay
  • trainingSettings.limitSettings.maxNodes
  • trainingSettings.limitSettings.trialTimeout
  • trainingSettings.gradientAccumulationSteps
  • trainingSettings.learningRate
  • trainingSettings.warmupRatio
  • validationData.pathOnCompute
  • fixedParameters
  • fixedParameters.gradientAccumulationSteps
  • fixedParameters.learningRate
  • fixedParameters.learningRateScheduler
  • fixedParameters.modelName
  • fixedParameters.numberOfEpochs
  • fixedParameters.trainingBatchSize
  • fixedParameters.validationBatchSize
  • fixedParameters.warmupRatio
  • fixedParameters.weightDecay
  • warmupRatio
  • autologgerSettings
  • autologgerSettings.mlflowAutologger
  • distribution.address
  • distribution.dashboardPort
  • distribution.headNodeAdditionalArgs
  • distribution.includeDashboard
  • distribution.port
  • distribution.workerNodeAdditionalArgs
  • inputs.pathOnCompute
  • resources.outputs
  • resources.outputs. {proprietà personalizzata}
  • resources.outputs.description
  • resources.outputs.jobOutputType
  • resources.outputs.assetName
  • resources.outputs.assetVersion
  • resources.outputs.autoDeleteSetting
  • resources.outputs.autoDeleteSetting.condition
  • resources.outputs.autoDeleteSetting.value
  • resources.outputs.mode
  • resources.outputs.pathOnCompute
  • resources.outputs.uri
  • dataConfiguration
  • dataConfiguration.dataId
  • dataConfiguration.incrementalDataRefresh
  • jobInstructions
  • jobInstructions.uri
  • labelCategories
  • labelCategories. {proprietà personalizzata}
  • labelCategories.classes
  • labelCategories.classes. {proprietà personalizzata}
  • labelCategories.classes.displayName
  • labelCategories.classes.subclasses
  • labelCategories.classes.subclasses. {proprietà personalizzata}
  • labelCategories.displayName
  • labelCategories.multiSelect
  • labelingJobMediaProperties
  • labelingJobMediaProperties.mediaType
  • labelingJobMediaProperties.annotationType
  • mlAssistConfiguration
  • mlAssistConfiguration.mlAssist
  • mlAssistConfiguration.inferencingComputeBinding
  • mlAssistConfiguration.trainingComputeBinding
  • archivio
  • samplingAlgorithm.logbase
  • trial.distribution.address
  • trial.distribution.dashboardPort
  • trial.distribution.headNodeAdditionalArgs
  • trial.distribution.includeDashboard
  • trial.distribution.port
  • trial.distribution.workerNodeAdditionalArgs
  • trial.resources.locations
  • trial.shmSize

Lontano:

  • properties.properties
  • properties.properties. {proprietà personalizzata}
  • properties.services
  • properties.services. {proprietà personalizzata}
  • properties.services.endpoint
  • properties.services.jobServiceType
  • properties.services.nodes
  • properties.services.nodes.nodesValueType
  • properties.services.port
  • properties.services.properties
  • properties.services.properties. {proprietà personalizzata}
  • resources.properties
  • resources.properties. {proprietà personalizzata}
  • taskDetails.blockedTrainingAlgorithms
  • taskDetails.enableDnnTraining
  • taskDetails.enableModelExplainability
  • taskDetails.enableOnnxCompatibleModels
  • taskDetails.enableStackEnsemble
  • taskDetails.enableVoteEnsemble
  • taskDetails.ensembleModelDownloadTimeout
  • taskDetails.stackEnsembleSettings
  • taskDetails.stackEnsembleSettings.stackMetaLearnerKWargs
  • taskDetails.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • taskDetails.stackEnsembleSettings.stackMetaLearnerType
  • validationDataSize
  • weightColumnName
  • cvSplitColumnNames
  • Parametri
  • forecastingSettings
  • forecastingSettings.countryOrRegionForHolidays
  • forecastingSettings.cvStepSize
  • forecastingSettings.featureLags
  • forecastingSettings.forecastHorizon
  • forecastingSettings.forecastHorizon.mode
  • forecastingSettings.forecastHorizon.value
  • forecastingSettings.frequency
  • forecastingSettings.seasonality
  • forecastingSettings.seasonality.mode
  • forecastingSettings.seasonality.value
  • forecastingSettings.shortSeriesHandlingConfig
  • forecastingSettings.targetAggregateFunction
  • forecastingSettings.targetLags
  • forecastingSettings.targetLags.mode
  • forecastingSettings.targetLags.values
  • forecastingSettings.targetLags.value
  • forecastingSettings.targetLags.jobInputType
  • forecastingSettings.targetLags.uri
  • forecastingSettings.targetRollingWindowSize
  • forecastingSettings.targetRollingWindowSize.mode
  • forecastingSettings.targetRollingWindowSize.value
  • forecastingSettings.timeColumnName
  • forecastingSettings.timeSeriesIdColumnNames
  • forecastingSettings.timeSeriesIdColumnNames.useStl
  • forecastingSettings.limitSettings
  • forecastingSettings.limitSettings.enableEarlyTermination
  • forecastingSettings.limitSettings.exitScore
  • forecastingSettings.limitSettings.maxConcurrentTrials
  • forecastingSettings.limitSettings.maxCoresPerTrial
  • forecastingSettings.limitSettings.maxTrials
  • forecastingSettings.limitSettings.timeout
  • forecastingSettings.limitSettings.trialTimeout
  • forecastingSettings.nCrossValidations
  • forecastingSettings.nCrossValidations.mode
  • forecastingSettings.nCrossValidations.value
  • forecastingSettings.primaryMetric
  • forecastingSettings.testData
  • forecastingSettings.testData.description
  • forecastingSettings.testData.jobInputType
  • forecastingSettings.testData.mode
  • forecastingSettings.testData.uri
  • forecastingSettings.testDataSize
  • forecastingSettings.trainingSettings
  • forecastingSettings.trainingSettings.allowedTrainingAlgorithms
  • forecastingSettings.trainingSettings.uri
  • forecastingSettings.validationDataSize
  • forecastingSettings.weightColumnName
  • forecastingSettings.taskType
  • forecastingSettings.modelSettings
  • forecastingSettings.modelSettings.advancedSettings
  • forecastingSettings.modelSettings.amsGradient
  • forecastingSettings.modelSettings.augmentations
  • forecastingSettings.modelSettings.beta1
  • forecastingSettings.modelSettings.beta2
  • forecastingSettings.modelSettings.checkpointFrequency
  • forecastingSettings.modelSettings.checkpointModel
  • forecastingSettings.modelSettings.checkpointModel.description
  • forecastingSettings.modelSettings.checkpointModel.jobInputType
  • forecastingSettings.modelSettings.checkpointModel.mode
  • forecastingSettings.modelSettings.checkpointModel.uri
  • forecastingSettings.modelSettings.checkpointRunId
  • forecastingSettings.modelSettings.distributed
  • forecastingSettings.modelSettings.earlyStopping
  • forecastingSettings.modelSettings.earlyStoppingDelay
  • forecastingSettings.modelSettings.earlyStoppingPatience
  • forecastingSettings.modelSettings.enableOnnxNormalization
  • forecastingSettings.modelSettings.evaluationFrequency
  • forecastingSettings.modelSettings.gradientAccumulationStep
  • forecastingSettings.modelSettings.layersToFreeze
  • forecastingSettings.modelSettings.learningRate
  • forecastingSettings.modelSettings.learningRateScheduler
  • forecastingSettings.modelSettings.modelName
  • forecastingSettings.modelSettings.momentum
  • forecastingSettings.modelSettings.nesterov
  • forecastingSettings.modelSettings.numberOfEpochs
  • forecastingSettings.modelSettings.numberOfWorkers
  • forecastingSettings.modelSettings.optimizer
  • forecastingSettings.modelSettings.randomSeed
  • forecastingSettings.modelSettings.stepLRGamma
  • forecastingSettings.modelSettings.stepLRStepSize
  • forecastingSettings.modelSettings.trainingBatchSize
  • forecastingSettings.modelSettings.trainingCropSize
  • forecastingSettings.modelSettings.validationBatchSize
  • forecastingSettings.modelSettings.validationCropSize
  • forecastingSettings.modelSettings.validationResizeSize
  • forecastingSettings.modelSettings.warmupCosineLRCycles
  • forecastingSettings.modelSettings.warmupCosineLRWarmupEpochs
  • forecastingSettings.modelSettings.weightDecay
  • forecastingSettings.modelSettings.weightedLoss
  • forecastingSettings.searchSpace
  • forecastingSettings.evaluationFrequency
  • forecastingSettings.gradientAccumulationStep
  • forecastingSettings.layersToFreeze
  • forecastingSettings.learningRate
  • forecastingSettings.learningRateScheduler
  • forecastingSettings.modelName
  • forecastingSettings.momentum
  • forecastingSettings.nesterov
  • forecastingSettings.numberOfEpochs
  • forecastingSettings.numberOfWorkers
  • forecastingSettings.optimizer
  • forecastingSettings.randomSeed
  • forecastingSettings.stepLRGamma
  • forecastingSettings.stepLRStepSize
  • forecastingSettings.trainingBatchSize
  • forecastingSettings.trainingCropSize
  • forecastingSettings.validationBatchSize
  • forecastingSettings.validationCropSize
  • forecastingSettings.validationResizeSize
  • forecastingSettings.warmupCosineLRCycles
  • forecastingSettings.warmupCosineLRWarmupEpochs
  • forecastingSettings.weightDecay
  • forecastingSettings.weightedLoss
  • earlyStoppingPatience
  • enableOnnxNormalization
  • evaluationFrequency
  • gradientAccumulationStep
  • trainingSettings.blockedTrainingAlgorithms
  • trainingSettings.enableModelExplainability
  • trainingSettings.enableOnnxCompatibleModels
  • trainingSettings.enableStackEnsemble
  • trainingSettings.enableVoteEnsemble
  • trainingSettings.ensembleModelDownloadTimeout
  • trainingSettings.stackEnsembleSettings
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerType
  • earlyTermination
  • earlyTermination.delayEvaluation
  • earlyTermination.evaluationInterval
  • earlyTermination.policyType
  • earlyTermination.slackAmount
  • earlyTermination.slackFactor
  • earlyTermination.truncationPercentage
  • limits.maxConcurrentTrials
  • limits.maxTotalTrials
  • limits.trialTimeout
  • obiettivo
  • objective.goal
  • objective.primaryMetric
  • trial.resources.properties
  • trial.resources.properties. {proprietà personalizzata}
  • trial.resources.shmSize

Aggiornato:

  • properties.services. {customd property}.properties.outputs. {customd property}.jobOutputType - Valori rimossi: 'mlflow_model' (obbligatorio) 'mltable' (obbligatorio) 'triton_model' (obbligatorio) 'uri_file' (obbligatorio) 'uri_folder' (obbligatorio)
  • properties.services. {customd property}.properties.outputs. {customd property}.mode - Aggiunta di valori: 'Direct'

2023-10-01

Aggiunto:

  • proprietà.properties
  • proprietà.properties. {customd property}
  • proprietà.services
  • proprietà.services. {customd property}
  • properties.services.endpoint
  • properties.services.jobServiceType
  • properties.services.nodes
  • properties.services.nodes.nodesValueType
  • properties.services.port
  • properties.services.properties
  • properties.services.properties. {proprietà personalizzata}
  • resources.properties
  • resources.properties. {proprietà personalizzata}
  • taskDetails.blockedTrainingAlgorithms
  • taskDetails.enableDnnTraining
  • taskDetails.enableModelExplainability
  • taskDetails.enableOnnxCompatibleModels
  • taskDetails.enableStackEnsemble
  • taskDetails.enableVoteEnsemble
  • taskDetails.ensembleModelDownloadTimeout
  • taskDetails.stackEnsembleSettings
  • taskDetails.stackEnsembleSettings.stackMetaLearnerKWargs
  • taskDetails.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • taskDetails.stackEnsembleSettings.stackMetaLearnerType
  • validationDataSize
  • weightColumnName
  • cvSplitColumnNames
  • Parametri
  • forecastingSettings.forecastHorizon
  • forecastingSettings.forecastHorizon.mode
  • forecastingSettings.forecastHorizon.value
  • forecastingSettings.frequency
  • forecastingSettings.seasonality
  • forecastingSettings.seasonality.mode
  • forecastingSettings.seasonality.value
  • forecastingSettings.shortSeriesHandlingConfig
  • forecastingSettings.targetAggregateFunction
  • forecastingSettings.targetLags
  • forecastingSettings.targetLags.mode
  • forecastingSettings.targetLags.values
  • forecastingSettings.targetLags.value
  • forecastingSettings.targetLags.jobInputType
  • forecastingSettings.targetLags.uri
  • forecastingSettings.targetRollingWindowSize
  • forecastingSettings.targetRollingWindowSize.mode
  • forecastingSettings.targetRollingWindowSize.value
  • forecastingSettings.timeColumnName
  • forecastingSettings.timeSeriesIdColumnNames
  • forecastingSettings.timeSeriesIdColumnNames.useStl
  • forecastingSettings.limitSettings
  • forecastingSettings.limitSettings.enableEarlyTermination
  • forecastingSettings.limitSettings.exitScore
  • forecastingSettings.limitSettings.maxConcurrentTrials
  • forecastingSettings.limitSettings.maxCoresPerTrial
  • forecastingSettings.limitSettings.maxTrials
  • forecastingSettings.limitSettings.timeout
  • forecastingSettings.limitSettings.trialTimeout
  • forecastingSettings.nCrossValidations
  • forecastingSettings.nCrossValidations.mode
  • forecastingSettings.nCrossValidations.value
  • forecastingSettings.primaryMetric
  • forecastingSettings.testData
  • forecastingSettings.testData.description
  • forecastingSettings.testData.jobInputType
  • forecastingSettings.testData.mode
  • forecastingSettings.testData.uri
  • forecastingSettings.testDataSize
  • forecastingSettings.trainingSettings
  • forecastingSettings.trainingSettings.allowedTrainingAlgorithms
  • forecastingSettings.trainingSettings.uri
  • forecastingSettings.validationDataSize
  • forecastingSettings.weightColumnName
  • forecastingSettings.taskType
  • forecastingSettings.modelSettings
  • forecastingSettings.modelSettings.advancedSettings
  • forecastingSettings.modelSettings.amsGradient
  • forecastingSettings.modelSettings.augmentations
  • forecastingSettings.modelSettings.beta1
  • forecastingSettings.modelSettings.beta2
  • forecastingSettings.modelSettings.checkpointFrequency
  • forecastingSettings.modelSettings.checkpointModel
  • forecastingSettings.modelSettings.checkpointModel.description
  • forecastingSettings.modelSettings.checkpointModel.jobInputType
  • forecastingSettings.modelSettings.checkpointModel.mode
  • forecastingSettings.modelSettings.checkpointModel.uri
  • forecastingSettings.modelSettings.checkpointRunId
  • forecastingSettings.modelSettings.distributed
  • forecastingSettings.modelSettings.earlyStopping
  • forecastingSettings.modelSettings.earlyStoppingDelay
  • forecastingSettings.modelSettings.earlyStoppingPatience
  • forecastingSettings.modelSettings.enableOnnxNormalization
  • forecastingSettings.modelSettings.evaluationFrequency
  • forecastingSettings.modelSettings.gradientAccumulationStep
  • forecastingSettings.modelSettings.layersToFreeze
  • forecastingSettings.modelSettings.learningRate
  • forecastingSettings.modelSettings.learningRateScheduler
  • forecastingSettings.modelSettings.modelName
  • forecastingSettings.modelSettings.momentum
  • forecastingSettings.modelSettings.nesterov
  • forecastingSettings.modelSettings.numberOfEpochs
  • forecastingSettings.modelSettings.numberOfWorkers
  • forecastingSettings.modelSettings.optimizer
  • forecastingSettings.modelSettings.randomSeed
  • forecastingSettings.modelSettings.stepLRGamma
  • forecastingSettings.modelSettings.stepLRStepSize
  • forecastingSettings.modelSettings.trainingBatchSize
  • forecastingSettings.modelSettings.trainingCropSize
  • forecastingSettings.modelSettings.validationBatchSize
  • forecastingSettings.modelSettings.validationCropSize
  • forecastingSettings.modelSettings.validationResizeSize
  • forecastingSettings.modelSettings.warmupCosineLRCycles
  • forecastingSettings.modelSettings.warmupCosineLRWarmupEpochs
  • forecastingSettings.modelSettings.weightDecay
  • forecastingSettings.modelSettings.weightedLoss
  • forecastingSettings.searchSpace
  • forecastingSettings.evaluationFrequency
  • forecastingSettings.gradientAccumulationStep
  • forecastingSettings.layersToFreeze
  • forecastingSettings.learningRate
  • forecastingSettings.learningRateScheduler
  • forecastingSettings.modelName
  • forecastingSettings.momentum
  • forecastingSettings.nesterov
  • forecastingSettings.numberOfEpochs
  • forecastingSettings.numberOfWorkers
  • forecastingSettings.optimizer
  • forecastingSettings.randomSeed
  • forecastingSettings.stepLRGamma
  • forecastingSettings.stepLRStepSize
  • forecastingSettings.trainingBatchSize
  • forecastingSettings.trainingCropSize
  • forecastingSettings.validationBatchSize
  • forecastingSettings.validationCropSize
  • forecastingSettings.validationResizeSize
  • forecastingSettings.warmupCosineLRCycles
  • forecastingSettings.warmupCosineLRWarmupEpochs
  • forecastingSettings.weightDecay
  • forecastingSettings.weightedLoss
  • earlyStoppingPatience
  • enableOnnxNormalization
  • evaluationFrequency
  • gradientAccumulationStep
  • imageSize
  • trainingSettings.blockedTrainingAlgorithms
  • trainingSettings.enableModelExplainability
  • trainingSettings.enableOnnxCompatibleModels
  • trainingSettings.enableStackEnsemble
  • trainingSettings.enableVoteEnsemble
  • trainingSettings.ensembleModelDownloadTimeout
  • trainingSettings.stackEnsembleSettings
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerType
  • earlyTermination
  • earlyTermination.delayEvaluation
  • earlyTermination.evaluationInterval
  • earlyTermination.policyType
  • earlyTermination.slackAmount
  • earlyTermination.slackFactor
  • earlyTermination.truncationPercentage
  • limits.maxConcurrentTrials
  • limits.maxTotalTrials
  • limits.trialTimeout
  • obiettivo
  • objective.goal
  • objective.primaryMetric
  • trial.resources.properties
  • trial.resources.properties. {proprietà personalizzata}
  • trial.resources.shmSize

Lontano:

  • properties.notificationSetting
  • properties.notificationSetting.emailOn
  • properties.notificationSetting.emails
  • properties.notificationSetting.webhooks
  • properties.notificationSetting.webhooks. {proprietà personalizzata}
  • properties.notificationSetting.webhooks.eventType
  • properties.notificationSetting.webhooks.webhookType
  • proprietà. {proprietà personalizzata}
  • secretsConfiguration
  • secretsConfiguration. {proprietà personalizzata}
  • secretsConfiguration.uri
  • secretsConfiguration.workspaceSecretName
  • servizi
  • servizi. {proprietà personalizzata}
  • services.endpoint
  • services.jobServiceType
  • services.nodes
  • services.nodes.nodesValueType
  • services.port
  • services.properties
  • services.properties. {proprietà personalizzata}
  • outputs.assetName
  • outputs.assetVersion
  • outputs.autoDeleteSetting
  • outputs.autoDeleteSetting.condition
  • outputs.autoDeleteSetting.value
  • queueSettings.priority
  • resources.locations
  • taskDetails.sweepTrials
  • taskDetails.timeout
  • taskDetails.trialTimeout
  • positiveLabel
  • searchSpace.booster
  • searchSpace.boostingType
  • searchSpace.growPolicy
  • searchSpace.learningRate
  • searchSpace.maxBin
  • searchSpace.maxDepth
  • searchSpace.maxLeaves
  • searchSpace.minDataInLeaf
  • searchSpace.minSplitGain
  • searchSpace.modelName
  • searchSpace.nEstimators
  • searchSpace.numLeaves
  • searchSpace.preprocessorName
  • searchSpace.regAlpha
  • searchSpace.regLambda
  • searchSpace.subsample
  • searchSpace.subsampleFreq
  • searchSpace.treeMethod
  • searchSpace.withMean
  • searchSpace.withStd
  • sweepSettings
  • sweepSettings.earlyTermination
  • sweepSettings.earlyTermination.delayEvaluation
  • sweepSettings.earlyTermination.evaluationInterval
  • sweepSettings.earlyTermination.policyType
  • sweepSettings.earlyTermination.slackAmount
  • sweepSettings.earlyTermination.slackFactor
  • sweepSettings.earlyTermination.truncationPercentage
  • sweepSettings.samplingAlgorithm
  • trainingSettings.featurizationSettings
  • trainingSettings.featurizationSettings.blockedTransformers
  • fixedParameters
  • fixedParameters.booster
  • fixedParameters.boostingType
  • fixedParameters.growPolicy
  • fixedParameters.learningRate
  • fixedParameters.maxBin
  • fixedParameters.maxDepth
  • fixedParameters.maxLeaves
  • fixedParameters.minDataInLeaf
  • fixedParameters.minSplitGain
  • fixedParameters.modelName
  • fixedParameters.nEstimators
  • fixedParameters.numLeaves
  • fixedParameters.preprocessorName
  • fixedParameters.regAlpha
  • fixedParameters.regLambda
  • fixedParameters.subsample
  • fixedParameters.subsampleFreq
  • fixedParameters.treeMethod
  • fixedParameters.withMean
  • fixedParameters.withStd
  • forecastingSettings.featuresUnknownAtForecastTime
  • forecastingSettings.mode
  • forecastingSettings.value
  • frequenza
  • stagionalità
  • stagionalità.mode
  • stagionalità.value
  • shortSeriesHandlingConfig
  • targetAggregateFunction
  • targetLags
  • targetLags.mode
  • targetLags.values
  • targetLags.distributionType
  • targetLags.address
  • targetLags.dashboardPort
  • targetLags.headNodeAdditionalArgs
  • targetLags.includeDashboard
  • targetLags.port
  • targetLags.workerNodeAdditionalArgs
  • targetLags.parameterServerCount
  • targetLags.workerCount
  • targetRollingWindowSize
  • targetRollingWindowSize.mode
  • targetRollingWindowSize.value
  • timeColumnName
  • timeSeriesIdColumnNames
  • minDataInLeaf
  • minSplitGain
  • nEstimators
  • numLeaves
  • preprocessorName
  • regAlpha
  • regLambda
  • sottosample
  • subsampleFreq
  • treeMethod
  • withMean
  • withStd
  • trainingSettings.maxConcurrentTrials
  • trainingSettings.maxTrials
  • trainingSettings.timeout
  • modelSettings
  • modelSettings.advancedSettings
  • modelSettings.amsGradient
  • modelSettings.augmentations
  • modelSettings.beta1
  • modelSettings.beta2
  • modelSettings.checkpointFrequency
  • modelSettings.checkpointModel
  • modelSettings.checkpointModel.description
  • modelSettings.checkpointModel.jobInputType
  • modelSettings.checkpointModel.mode
  • modelSettings.checkpointModel.uri
  • modelSettings.checkpointRunId
  • modelSettings.distributed
  • modelSettings.earlyStopping
  • modelSettings.earlyStoppingDelay
  • modelSettings.earlyStoppingPatience
  • modelSettings.enableOnnxNormalization
  • modelSettings.evaluationFrequency
  • modelSettings.gradientAccumulationStep
  • modelSettings.layersToFreeze
  • modelSettings.learningRate
  • modelSettings.learningRateScheduler
  • modelSettings.modelName
  • modelSettings.momentum
  • modelSettings.nesterov
  • modelSettings.numberOfEpochs
  • modelSettings.numberOfWorkers
  • modelSettings.optimizer
  • modelSettings.randomSeed
  • modelSettings.stepLRGamma
  • modelSettings.stepLRStepSize
  • modelSettings.trainingBatchSize
  • modelSettings.trainingCropSize
  • modelSettings.validationBatchSize
  • modelSettings.validationCropSize
  • modelSettings.validationResizeSize
  • modelSettings.warmupCosineLRCycles
  • modelSettings.warmupCosineLRWarmupEpochs
  • modelSettings.weightDecay
  • modelSettings.weightedLoss
  • trainingCropSize
  • validationCropSize
  • validationResizeSize
  • weightedLoss
  • logTrainingMetrics
  • logValidationLoss
  • maxBin
  • maxDepth
  • maxLeaves
  • limitSettings.maxNodes
  • limitSettings.sweepConcurrentTrials
  • limitSettings.sweepTrials
  • trainingSettings.datasetLanguage
  • fixedParameters.gradientAccumulationSteps
  • fixedParameters.learningRateScheduler
  • fixedParameters.numberOfEpochs
  • fixedParameters.trainingBatchSize
  • fixedParameters.validationBatchSize
  • fixedParameters.warmupRatio
  • fixedParameters.weightDecay
  • gradientAccumulationSteps
  • warmupRatio
  • autologgerSettings
  • autologgerSettings.mlflowAutologger
  • distribution.address
  • distribution.dashboardPort
  • distribution.headNodeAdditionalArgs
  • distribution.includeDashboard
  • distribution.port
  • distribution.workerNodeAdditionalArgs
  • resources.locations.maxInstanceCount
  • resources.locations.properties
  • resources.locations.properties. {proprietà personalizzata}
  • resources.locations.shmSize
  • resources.jobType
  • resources.dataConfiguration
  • resources.dataConfiguration.dataId
  • resources.dataConfiguration.incrementalDataRefresh
  • resources.jobInstructions
  • resources.jobInstructions.uri
  • resources.labelCategories
  • resources.labelCategories. {proprietà personalizzata}
  • resources.labelCategories.classes
  • resources.labelCategories.classes. {proprietà personalizzata}
  • resources.labelCategories.classes.displayName
  • resources.labelCategories.classes.subclasses
  • resources.labelCategories.classes.subclasses. {proprietà personalizzata}
  • resources.labelCategories.displayName
  • resources.labelCategories.multiSelect
  • labelingJobMediaProperties
  • labelingJobMediaProperties.mediaType
  • labelingJobMediaProperties.annotationType
  • mlAssistConfiguration
  • mlAssistConfiguration.mlAssist
  • mlAssistConfiguration.inferencingComputeBinding
  • mlAssistConfiguration.trainingComputeBinding
  • archivio
  • archives.args
  • archives.codeId
  • archives.conf
  • archives.conf. {proprietà personalizzata}
  • archives.entry
  • archives.entry.sparkJobEntryType
  • archives.entry.file
  • archives.entry.className
  • archives.environmentId
  • archives.environmentVariables
  • archives.environmentVariables. {proprietà personalizzata}
  • archives.files
  • archivio. {proprietà personalizzata}
  • archives.description
  • archives.jobOutputType
  • archives.assetName
  • archives.assetVersion
  • archives.autoDeleteSetting
  • archives.autoDeleteSetting.condition
  • archives.autoDeleteSetting.value
  • archives.mode
  • archives.uri
  • pyFiles
  • samplingAlgorithm.logbase
  • trial.distribution.address
  • trial.distribution.dashboardPort
  • trial.distribution.headNodeAdditionalArgs
  • trial.distribution.includeDashboard
  • trial.distribution.port
  • trial.distribution.workerNodeAdditionalArgs
  • trial.resources.locations
  • trial.shmSize

Aggiornato:

  • properties.services. {customd property}.properties.outputs. {customized property}.jobOutputType - Aggiunta di valori: 'mlflow_model' (obbligatorio) 'mltable' (obbligatorio) 'triton_model' (obbligatorio) 'uri_file' (obbligatorio) 'uri_folder' (obbligatorio) (obbligatorio)
  • properties.services. {customd property}.properties.outputs. {customd property}.mode - Valori rimossi: 'Direct'

2023-08-01-preview

Aggiunto:

  • targetLags.distributionType
  • targetLags.address
  • targetLags.dashboardPort
  • targetLags.headNodeAdditionalArgs
  • targetLags.includeDashboard
  • targetLags.port
  • targetLags.workerNodeAdditionalArgs
  • targetLags.parameterServerCount
  • targetLags.workerCount
  • archives.environmentVariables
  • archives.environmentVariables. {proprietà personalizzata}
  • archivio. {proprietà personalizzata}
  • archives.description
  • campionamentoAlgorithm
  • samplingAlgorithm.samplingAlgorithmType
  • samplingAlgorithm.logbase
  • samplingAlgorithm.rule
  • samplingAlgorithm.seed
  • prova
  • trial.codeId
  • trial.command
  • trial.distribution
  • trial.distribution.distributionType
  • trial.distribution.processCountPerInstance
  • trial.distribution.address
  • trial.distribution.dashboardPort
  • trial.distribution.headNodeAdditionalArgs
  • trial.distribution.includeDashboard
  • trial.distribution.port
  • trial.distribution.workerNodeAdditionalArgs
  • trial.distribution.parameterServerCount
  • trial.distribution.workerCount
  • trial.environmentId
  • trial.environmentVariables
  • trial.environmentVariables. {proprietà personalizzata}
  • trial.resources
  • trial.resources.dockerArgs
  • trial.resources.instanceCount
  • trial.resources.instanceType
  • trial.resources.locations
  • trial.shmSize

Lontano:

  • targetLags.value
  • instanceType
  • Luoghi
  • locations.maxInstanceCount
  • locations.properties
  • locations.properties. {proprietà personalizzata}
  • locations.shmSize

2023-06-01-preview

Aggiunto:

  • properties.notificationSetting
  • properties.notificationSetting.emailOn
  • properties.notificationSetting.emails
  • properties.notificationSetting.webhooks
  • properties.notificationSetting.webhooks. {customd property}
  • properties.notificationSetting.webhooks.eventType
  • properties.notificationSetting.webhooks.webhookType
  • proprietà. {proprietà personalizzata}
  • secretsConfiguration
  • secretsConfiguration. {proprietà personalizzata}
  • secretsConfiguration.uri
  • secretsConfiguration.workspaceSecretName
  • servizi
  • servizi. {proprietà personalizzata}
  • services.endpoint
  • services.jobServiceType
  • services.nodes
  • services.nodes.nodesValueType
  • services.port
  • services.properties
  • services.properties. {proprietà personalizzata}
  • outputs.assetName
  • outputs.assetVersion
  • outputs.autoDeleteSetting
  • outputs.autoDeleteSetting.condition
  • outputs.autoDeleteSetting.value
  • queueSettings
  • queueSettings.jobTier
  • queueSettings.priority
  • resources.locations
  • taskDetails.sweepTrials
  • taskDetails.timeout
  • taskDetails.trialTimeout
  • positiveLabel
  • searchSpace.booster
  • searchSpace.boostingType
  • searchSpace.growPolicy
  • searchSpace.learningRate
  • searchSpace.maxBin
  • searchSpace.maxDepth
  • searchSpace.maxLeaves
  • searchSpace.minDataInLeaf
  • searchSpace.minSplitGain
  • searchSpace.modelName
  • searchSpace.nEstimators
  • searchSpace.numLeaves
  • searchSpace.preprocessorName
  • searchSpace.regAlpha
  • searchSpace.regLambda
  • searchSpace.subsample
  • searchSpace.subsampleFreq
  • searchSpace.treeMethod
  • searchSpace.withMean
  • searchSpace.withStd
  • sweepSettings
  • sweepSettings.earlyTermination
  • sweepSettings.earlyTermination.delayEvaluation
  • sweepSettings.earlyTermination.evaluationInterval
  • sweepSettings.earlyTermination.policyType
  • sweepSettings.earlyTermination.slackAmount
  • sweepSettings.earlyTermination.slackFactor
  • sweepSettings.earlyTermination.truncationPercentage
  • sweepSettings.samplingAlgorithm
  • trainingSettings.featurizationSettings
  • trainingSettings.featurizationSettings.blockedTransformers
  • fixedParameters
  • fixedParameters.booster
  • fixedParameters.boostingType
  • fixedParameters.growPolicy
  • fixedParameters.learningRate
  • fixedParameters.maxBin
  • fixedParameters.maxDepth
  • fixedParameters.maxLeaves
  • fixedParameters.minDataInLeaf
  • fixedParameters.minSplitGain
  • fixedParameters.modelName
  • fixedParameters.nEstimators
  • fixedParameters.numLeaves
  • fixedParameters.preprocessorName
  • fixedParameters.regAlpha
  • fixedParameters.regLambda
  • fixedParameters.subsample
  • fixedParameters.subsampleFreq
  • fixedParameters.treeMethod
  • fixedParameters.withMean
  • fixedParameters.withStd
  • forecastingSettings.featuresUnknownAtForecastTime
  • forecastingSettings.mode
  • forecastingSettings.value
  • frequenza
  • stagionalità
  • stagionalità.mode
  • stagionalità.value
  • shortSeriesHandlingConfig
  • targetAggregateFunction
  • targetLags
  • targetLags.mode
  • targetLags.values
  • targetLags.value
  • targetRollingWindowSize
  • targetRollingWindowSize.mode
  • targetRollingWindowSize.value
  • timeColumnName
  • timeSeriesIdColumnNames
  • minDataInLeaf
  • minSplitGain
  • nEstimators
  • numLeaves
  • preprocessorName
  • regAlpha
  • regLambda
  • sottosample
  • subsampleFreq
  • treeMethod
  • withMean
  • withStd
  • trainingSettings.maxConcurrentTrials
  • trainingSettings.maxTrials
  • trainingSettings.timeout
  • modelSettings
  • modelSettings.advancedSettings
  • modelSettings.amsGradient
  • modelSettings.augmentations
  • modelSettings.beta1
  • modelSettings.beta2
  • modelSettings.checkpointFrequency
  • modelSettings.checkpointModel
  • modelSettings.checkpointModel.description
  • modelSettings.checkpointModel.jobInputType
  • modelSettings.checkpointModel.mode
  • modelSettings.checkpointModel.uri
  • modelSettings.checkpointRunId
  • modelSettings.distributed
  • modelSettings.earlyStopping
  • modelSettings.earlyStoppingDelay
  • modelSettings.earlyStoppingPatience
  • modelSettings.enableOnnxNormalization
  • modelSettings.evaluationFrequency
  • modelSettings.gradientAccumulationStep
  • modelSettings.layersToFreeze
  • modelSettings.learningRate
  • modelSettings.learningRateScheduler
  • modelSettings.modelName
  • modelSettings.momentum
  • modelSettings.nesterov
  • modelSettings.numberOfEpochs
  • modelSettings.numberOfWorkers
  • modelSettings.optimizer
  • modelSettings.randomSeed
  • modelSettings.stepLRGamma
  • modelSettings.stepLRStepSize
  • modelSettings.trainingBatchSize
  • modelSettings.trainingCropSize
  • modelSettings.validationBatchSize
  • modelSettings.validationCropSize
  • modelSettings.validationResizeSize
  • modelSettings.warmupCosineLRCycles
  • modelSettings.warmupCosineLRWarmupEpochs
  • modelSettings.weightDecay
  • modelSettings.weightedLoss
  • trainingCropSize
  • validationCropSize
  • validationResizeSize
  • weightedLoss
  • logTrainingMetrics
  • logValidationLoss
  • maxBin
  • maxDepth
  • maxLeaves
  • limitSettings.maxNodes
  • limitSettings.sweepConcurrentTrials
  • limitSettings.sweepTrials
  • trainingSettings.datasetLanguage
  • fixedParameters.gradientAccumulationSteps
  • fixedParameters.learningRateScheduler
  • fixedParameters.numberOfEpochs
  • fixedParameters.trainingBatchSize
  • fixedParameters.validationBatchSize
  • fixedParameters.warmupRatio
  • fixedParameters.weightDecay
  • gradientAccumulationSteps
  • warmupRatio
  • autologgerSettings
  • autologgerSettings.mlflowAutologger
  • distribution.address
  • distribution.dashboardPort
  • distribution.headNodeAdditionalArgs
  • distribution.includeDashboard
  • distribution.port
  • distribution.workerNodeAdditionalArgs
  • resources.locations.maxInstanceCount
  • resources.locations.properties
  • resources.locations.properties. {proprietà personalizzata}
  • resources.locations.shmSize
  • resources.jobType
  • resources.dataConfiguration
  • resources.dataConfiguration.dataId
  • resources.dataConfiguration.incrementalDataRefresh
  • resources.jobInstructions
  • resources.jobInstructions.uri
  • resources.labelCategories
  • resources.labelCategories. {proprietà personalizzata}
  • resources.labelCategories.classes
  • resources.labelCategories.classes. {proprietà personalizzata}
  • resources.labelCategories.classes.displayName
  • resources.labelCategories.classes.subclasses
  • resources.labelCategories.classes.subclasses. {proprietà personalizzata}
  • resources.labelCategories.displayName
  • resources.labelCategories.multiSelect
  • labelingJobMediaProperties
  • labelingJobMediaProperties.mediaType
  • labelingJobMediaProperties.annotationType
  • mlAssistConfiguration
  • mlAssistConfiguration.mlAssist
  • mlAssistConfiguration.inferencingComputeBinding
  • mlAssistConfiguration.trainingComputeBinding
  • archivio
  • archives.args
  • archives.codeId
  • archives.conf
  • archives.conf. {proprietà personalizzata}
  • archives.entry
  • archives.entry.sparkJobEntryType
  • archives.entry.file
  • archives.entry.className
  • archives.environmentId
  • archives.files
  • archives.jobOutputType
  • archives.assetName
  • archives.assetVersion
  • archives.autoDeleteSetting
  • archives.autoDeleteSetting.condition
  • archives.autoDeleteSetting.value
  • archives.mode
  • archives.uri
  • pyFiles
  • instanceType
  • Luoghi
  • locations.maxInstanceCount
  • locations.properties
  • locations.properties. {proprietà personalizzata}
  • locations.shmSize

Lontano:

  • properties.properties
  • properties.properties. {proprietà personalizzata}
  • properties.services
  • properties.services. {proprietà personalizzata}
  • properties.services.endpoint
  • properties.services.jobServiceType
  • properties.services.nodes
  • properties.services.nodes.nodesValueType
  • properties.services.port
  • properties.services.properties
  • properties.services.properties. {proprietà personalizzata}
  • resources.properties
  • resources.properties. {proprietà personalizzata}
  • taskDetails.trainingSettings
  • taskDetails.trainingSettings.allowedTrainingAlgorithms
  • taskDetails.trainingSettings.blockedTrainingAlgorithms
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableDnnTraining
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableModelExplainability
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableOnnxCompatibleModels
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableStackEnsemble
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableVoteEnsemble
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.ensembleModelDownloadTimeout
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerKWargs
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerType
  • taskDetails.trainingSettings.validationData
  • taskDetails.trainingSettings.validationData.description
  • taskDetails.trainingSettings.validationData.jobInputType
  • taskDetails.trainingSettings.validationData.mode
  • taskDetails.trainingSettings.validationData.uri
  • taskDetails.trainingSettings.validationDataSize
  • taskDetails.trainingSettings.weightColumnName
  • taskDetails.trainingSettings.taskType
  • taskDetails.trainingSettings.cvSplitColumnNames
  • taskDetails.trainingSettings. {proprietà personalizzata}
  • taskDetails.trainingSettings.parameters
  • forecastingSettings.forecastHorizon
  • forecastingSettings.forecastHorizon.mode
  • forecastingSettings.forecastHorizon.value
  • forecastingSettings.frequency
  • forecastingSettings.seasonality
  • forecastingSettings.seasonality.mode
  • forecastingSettings.seasonality.value
  • forecastingSettings.shortSeriesHandlingConfig
  • forecastingSettings.targetAggregateFunction
  • forecastingSettings.targetLags
  • forecastingSettings.targetLags.mode
  • forecastingSettings.targetLags.values
  • forecastingSettings.targetLags.jobInputType
  • forecastingSettings.targetLags.value
  • forecastingSettings.targetLags.uri
  • forecastingSettings.targetRollingWindowSize
  • forecastingSettings.targetRollingWindowSize.mode
  • forecastingSettings.targetRollingWindowSize.value
  • forecastingSettings.timeColumnName
  • forecastingSettings.timeSeriesIdColumnNames
  • forecastingSettings.useStl
  • trainingSettings.allowedTrainingAlgorithms.blockedTrainingAlgorithms
  • trainingSettings.allowedTrainingAlgorithms.description
  • trainingSettings.allowedTrainingAlgorithms.jobInputType
  • trainingSettings.allowedTrainingAlgorithms.mode
  • trainingSettings.allowedTrainingAlgorithms.uri
  • trainingSettings.validationDataSize
  • trainingSettings.weightColumnName
  • trainingSettings.taskType
  • trainingSettings.limitSettings
  • trainingSettings.limitSettings.maxConcurrentTrials
  • trainingSettings.limitSettings.maxTrials
  • trainingSettings.limitSettings.timeout
  • trainingSettings.modelSettings
  • trainingSettings.modelSettings.advancedSettings
  • trainingSettings.modelSettings.amsGradient
  • trainingSettings.modelSettings.augmentations
  • trainingSettings.modelSettings.beta1
  • trainingSettings.modelSettings.beta2
  • trainingSettings.modelSettings.checkpointFrequency
  • trainingSettings.modelSettings.checkpointModel
  • trainingSettings.modelSettings.checkpointModel.description
  • trainingSettings.modelSettings.checkpointModel.jobInputType
  • trainingSettings.modelSettings.checkpointModel.mode
  • trainingSettings.modelSettings.checkpointModel.uri
  • trainingSettings.modelSettings.checkpointRunId
  • trainingSettings.modelSettings.distributed
  • trainingSettings.modelSettings.earlyStopping
  • trainingSettings.modelSettings.earlyStoppingDelay
  • trainingSettings.modelSettings.earlyStoppingPatience
  • trainingSettings.modelSettings.enableOnnxNormalization
  • trainingSettings.modelSettings.evaluationFrequency
  • trainingSettings.modelSettings.gradientAccumulationStep
  • trainingSettings.modelSettings.layersToFreeze
  • trainingSettings.modelSettings.learningRate
  • trainingSettings.modelSettings.learningRateScheduler
  • trainingSettings.modelSettings.modelName
  • trainingSettings.modelSettings.momentum
  • trainingSettings.modelSettings.nesterov
  • trainingSettings.modelSettings.numberOfEpochs
  • trainingSettings.modelSettings.numberOfWorkers
  • trainingSettings.modelSettings.optimizer
  • trainingSettings.modelSettings.randomSeed
  • trainingSettings.modelSettings.stepLRGamma
  • trainingSettings.modelSettings.stepLRStepSize
  • trainingSettings.modelSettings.trainingBatchSize
  • trainingSettings.modelSettings.trainingCropSize
  • trainingSettings.modelSettings.validationBatchSize
  • trainingSettings.modelSettings.validationCropSize
  • trainingSettings.modelSettings.validationResizeSize
  • trainingSettings.modelSettings.warmupCosineLRCycles
  • trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
  • trainingSettings.modelSettings.weightDecay
  • trainingSettings.modelSettings.weightedLoss
  • trainingSettings.primaryMetric
  • trainingSettings.searchSpace
  • trainingSettings.earlyStoppingDelay
  • trainingSettings.earlyStoppingPatience
  • trainingSettings.enableOnnxNormalization
  • trainingSettings.evaluationFrequency
  • trainingSettings.gradientAccumulationStep
  • trainingSettings.layersToFreeze
  • trainingSettings.learningRate
  • trainingSettings.learningRateScheduler
  • trainingSettings.modelName
  • trainingSettings.momentum
  • trainingSettings.nesterov
  • trainingSettings.numberOfEpochs
  • trainingSettings.numberOfWorkers
  • trainingSettings.optimizer
  • trainingSettings.randomSeed
  • trainingSettings.stepLRGamma
  • trainingSettings.stepLRStepSize
  • trainingSettings.trainingBatchSize
  • trainingSettings.trainingCropSize
  • trainingSettings.validationBatchSize
  • trainingSettings.validationCropSize
  • trainingSettings.validationResizeSize
  • trainingSettings.warmupCosineLRCycles
  • trainingSettings.warmupCosineLRWarmupEpochs
  • trainingSettings.weightDecay
  • trainingSettings.weightedLoss
  • distribuito
  • earlyStopping
  • earlyStoppingDelay
  • earlyStoppingPatience
  • enableOnnxNormalization
  • evaluationFrequency
  • gradientAccumulationStep
  • imageSize
  • trainingSettings.enableDnnTraining
  • trainingSettings.enableModelExplainability
  • trainingSettings.enableOnnxCompatibleModels
  • trainingSettings.enableStackEnsemble
  • trainingSettings.enableVoteEnsemble
  • trainingSettings.ensembleModelDownloadTimeout
  • trainingSettings.stackEnsembleSettings
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerType
  • validationDataSize
  • weightColumnName
  • earlyTermination
  • earlyTermination.delayEvaluation
  • earlyTermination.evaluationInterval
  • earlyTermination.policyType
  • earlyTermination.slackAmount
  • earlyTermination.slackFactor
  • earlyTermination.truncationPercentage
  • limits.maxConcurrentTrials
  • limits.maxTotalTrials
  • limits.trialTimeout
  • obiettivo
  • objective.goal
  • objective.primaryMetric
  • campionamentoAlgorithm
  • samplingAlgorithm.samplingAlgorithmType
  • samplingAlgorithm.rule
  • samplingAlgorithm.seed
  • prova
  • trial.codeId
  • trial.command
  • trial.distribution
  • trial.distribution.distributionType
  • trial.distribution.processCountPerInstance
  • trial.distribution.parameterServerCount
  • trial.distribution.workerCount
  • trial.environmentId
  • trial.environmentVariables
  • trial.environmentVariables. {proprietà personalizzata}
  • trial.resources
  • trial.resources.dockerArgs
  • trial.resources.instanceCount
  • trial.resources.instanceType
  • trial.resources.properties
  • trial.resources.properties. {proprietà personalizzata}
  • trial.resources.shmSize

Aggiornato:

  • properties.services. {customd property}.properties.outputs. {customd property}.jobOutputType - Valori rimossi: 'mlflow_model' (obbligatorio) 'mltable' (obbligatorio) 'triton_model' (obbligatorio) 'uri_file' (obbligatorio) 'uri_folder' (obbligatorio)
  • properties.services. {customd property}.properties.outputs. {customd property}.mode - Aggiunta di valori: 'Direct'

2023-04-01

Aggiunto:

  • proprietà.properties
  • proprietà.properties. {customd property}
  • proprietà.services
  • proprietà.services. {customd property}
  • properties.services.endpoint
  • properties.services.jobServiceType
  • properties.services.nodes
  • properties.services.nodes.nodesValueType
  • properties.services.port
  • properties.services.properties
  • properties.services.properties. {proprietà personalizzata}
  • resources.properties
  • resources.properties. {proprietà personalizzata}
  • taskDetails.trainingSettings
  • taskDetails.trainingSettings.allowedTrainingAlgorithms
  • taskDetails.trainingSettings.blockedTrainingAlgorithms
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableDnnTraining
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableModelExplainability
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableOnnxCompatibleModels
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableStackEnsemble
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableVoteEnsemble
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.ensembleModelDownloadTimeout
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerKWargs
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerType
  • taskDetails.trainingSettings.validationData
  • taskDetails.trainingSettings.validationData.description
  • taskDetails.trainingSettings.validationData.jobInputType
  • taskDetails.trainingSettings.validationData.mode
  • taskDetails.trainingSettings.validationData.uri
  • taskDetails.trainingSettings.validationDataSize
  • taskDetails.trainingSettings.weightColumnName
  • taskDetails.trainingSettings.taskType
  • taskDetails.trainingSettings.cvSplitColumnNames
  • taskDetails.trainingSettings. {proprietà personalizzata}
  • taskDetails.trainingSettings.parameters
  • forecastingSettings.forecastHorizon
  • forecastingSettings.forecastHorizon.mode
  • forecastingSettings.forecastHorizon.value
  • forecastingSettings.frequency
  • forecastingSettings.seasonality
  • forecastingSettings.seasonality.mode
  • forecastingSettings.seasonality.value
  • forecastingSettings.shortSeriesHandlingConfig
  • forecastingSettings.targetAggregateFunction
  • forecastingSettings.targetLags
  • forecastingSettings.targetLags.mode
  • forecastingSettings.targetLags.values
  • forecastingSettings.targetLags.jobInputType
  • forecastingSettings.targetLags.value
  • forecastingSettings.targetLags.uri
  • forecastingSettings.targetRollingWindowSize
  • forecastingSettings.targetRollingWindowSize.mode
  • forecastingSettings.targetRollingWindowSize.value
  • forecastingSettings.timeColumnName
  • forecastingSettings.timeSeriesIdColumnNames
  • forecastingSettings.useStl
  • trainingSettings.allowedTrainingAlgorithms.blockedTrainingAlgorithms
  • trainingSettings.allowedTrainingAlgorithms.description
  • trainingSettings.allowedTrainingAlgorithms.jobInputType
  • trainingSettings.allowedTrainingAlgorithms.mode
  • trainingSettings.allowedTrainingAlgorithms.uri
  • trainingSettings.validationDataSize
  • trainingSettings.weightColumnName
  • trainingSettings.taskType
  • trainingSettings.limitSettings
  • trainingSettings.limitSettings.maxConcurrentTrials
  • trainingSettings.limitSettings.maxTrials
  • trainingSettings.limitSettings.timeout
  • trainingSettings.modelSettings
  • trainingSettings.modelSettings.advancedSettings
  • trainingSettings.modelSettings.amsGradient
  • trainingSettings.modelSettings.augmentations
  • trainingSettings.modelSettings.beta1
  • trainingSettings.modelSettings.beta2
  • trainingSettings.modelSettings.checkpointFrequency
  • trainingSettings.modelSettings.checkpointModel
  • trainingSettings.modelSettings.checkpointModel.description
  • trainingSettings.modelSettings.checkpointModel.jobInputType
  • trainingSettings.modelSettings.checkpointModel.mode
  • trainingSettings.modelSettings.checkpointModel.uri
  • trainingSettings.modelSettings.checkpointRunId
  • trainingSettings.modelSettings.distributed
  • trainingSettings.modelSettings.earlyStopping
  • trainingSettings.modelSettings.earlyStoppingDelay
  • trainingSettings.modelSettings.earlyStoppingPatience
  • trainingSettings.modelSettings.enableOnnxNormalization
  • trainingSettings.modelSettings.evaluationFrequency
  • trainingSettings.modelSettings.gradientAccumulationStep
  • trainingSettings.modelSettings.layersToFreeze
  • trainingSettings.modelSettings.learningRate
  • trainingSettings.modelSettings.learningRateScheduler
  • trainingSettings.modelSettings.modelName
  • trainingSettings.modelSettings.momentum
  • trainingSettings.modelSettings.nesterov
  • trainingSettings.modelSettings.numberOfEpochs
  • trainingSettings.modelSettings.numberOfWorkers
  • trainingSettings.modelSettings.optimizer
  • trainingSettings.modelSettings.randomSeed
  • trainingSettings.modelSettings.stepLRGamma
  • trainingSettings.modelSettings.stepLRStepSize
  • trainingSettings.modelSettings.trainingBatchSize
  • trainingSettings.modelSettings.trainingCropSize
  • trainingSettings.modelSettings.validationBatchSize
  • trainingSettings.modelSettings.validationCropSize
  • trainingSettings.modelSettings.validationResizeSize
  • trainingSettings.modelSettings.warmupCosineLRCycles
  • trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
  • trainingSettings.modelSettings.weightDecay
  • trainingSettings.modelSettings.weightedLoss
  • trainingSettings.primaryMetric
  • trainingSettings.searchSpace
  • trainingSettings.earlyStoppingDelay
  • trainingSettings.earlyStoppingPatience
  • trainingSettings.enableOnnxNormalization
  • trainingSettings.evaluationFrequency
  • trainingSettings.gradientAccumulationStep
  • trainingSettings.layersToFreeze
  • trainingSettings.learningRate
  • trainingSettings.learningRateScheduler
  • trainingSettings.modelName
  • trainingSettings.momentum
  • trainingSettings.nesterov
  • trainingSettings.numberOfEpochs
  • trainingSettings.numberOfWorkers
  • trainingSettings.optimizer
  • trainingSettings.randomSeed
  • trainingSettings.stepLRGamma
  • trainingSettings.stepLRStepSize
  • trainingSettings.trainingBatchSize
  • trainingSettings.trainingCropSize
  • trainingSettings.validationBatchSize
  • trainingSettings.validationCropSize
  • trainingSettings.validationResizeSize
  • trainingSettings.warmupCosineLRCycles
  • trainingSettings.warmupCosineLRWarmupEpochs
  • trainingSettings.weightDecay
  • trainingSettings.weightedLoss
  • distribuito
  • earlyStopping
  • earlyStoppingDelay
  • earlyStoppingPatience
  • enableOnnxNormalization
  • evaluationFrequency
  • gradientAccumulationStep
  • imageSize
  • trainingSettings.enableDnnTraining
  • trainingSettings.enableModelExplainability
  • trainingSettings.enableOnnxCompatibleModels
  • trainingSettings.enableStackEnsemble
  • trainingSettings.enableVoteEnsemble
  • trainingSettings.ensembleModelDownloadTimeout
  • trainingSettings.stackEnsembleSettings
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerType
  • validationDataSize
  • weightColumnName
  • earlyTermination
  • earlyTermination.delayEvaluation
  • earlyTermination.evaluationInterval
  • earlyTermination.policyType
  • earlyTermination.slackAmount
  • earlyTermination.slackFactor
  • earlyTermination.truncationPercentage
  • limits.maxConcurrentTrials
  • limits.maxTotalTrials
  • limits.trialTimeout
  • obiettivo
  • objective.goal
  • objective.primaryMetric
  • campionamentoAlgorithm
  • samplingAlgorithm.samplingAlgorithmType
  • samplingAlgorithm.rule
  • samplingAlgorithm.seed
  • prova
  • trial.codeId
  • trial.command
  • trial.distribution
  • trial.distribution.distributionType
  • trial.distribution.processCountPerInstance
  • trial.distribution.parameterServerCount
  • trial.distribution.workerCount
  • trial.environmentId
  • trial.environmentVariables
  • trial.environmentVariables. {proprietà personalizzata}
  • trial.resources
  • trial.resources.dockerArgs
  • trial.resources.instanceCount
  • trial.resources.instanceType
  • trial.resources.properties
  • trial.resources.properties. {proprietà personalizzata}
  • trial.resources.shmSize

Lontano:

  • properties.notificationSetting
  • properties.notificationSetting.emailOn
  • properties.notificationSetting.emails
  • properties.notificationSetting.webhooks
  • properties.notificationSetting.webhooks. {proprietà personalizzata}
  • properties.notificationSetting.webhooks.eventType
  • properties.notificationSetting.webhooks.webhookType
  • proprietà. {proprietà personalizzata}
  • secretsConfiguration
  • secretsConfiguration. {proprietà personalizzata}
  • secretsConfiguration.uri
  • secretsConfiguration.workspaceSecretName
  • servizi
  • servizi. {proprietà personalizzata}
  • services.endpoint
  • services.jobServiceType
  • services.nodes
  • services.nodes.nodesValueType
  • services.port
  • services.properties
  • services.properties. {proprietà personalizzata}
  • outputs.assetName
  • outputs.assetVersion
  • outputs.autoDeleteSetting
  • outputs.autoDeleteSetting.condition
  • outputs.autoDeleteSetting.value
  • queueSettings
  • queueSettings.jobTier
  • queueSettings.priority
  • resources.locations
  • taskDetails.sweepTrials
  • taskDetails.timeout
  • taskDetails.trialTimeout
  • positiveLabel
  • searchSpace.booster
  • searchSpace.boostingType
  • searchSpace.growPolicy
  • searchSpace.learningRate
  • searchSpace.maxBin
  • searchSpace.maxDepth
  • searchSpace.maxLeaves
  • searchSpace.minDataInLeaf
  • searchSpace.minSplitGain
  • searchSpace.modelName
  • searchSpace.nEstimators
  • searchSpace.numLeaves
  • searchSpace.preprocessorName
  • searchSpace.regAlpha
  • searchSpace.regLambda
  • searchSpace.subsample
  • searchSpace.subsampleFreq
  • searchSpace.treeMethod
  • searchSpace.withMean
  • searchSpace.withStd
  • sweepSettings
  • sweepSettings.earlyTermination
  • sweepSettings.earlyTermination.delayEvaluation
  • sweepSettings.earlyTermination.evaluationInterval
  • sweepSettings.earlyTermination.policyType
  • sweepSettings.earlyTermination.slackAmount
  • sweepSettings.earlyTermination.slackFactor
  • sweepSettings.earlyTermination.truncationPercentage
  • sweepSettings.samplingAlgorithm
  • trainingSettings.featurizationSettings
  • trainingSettings.featurizationSettings.blockedTransformers
  • fixedParameters
  • fixedParameters.booster
  • fixedParameters.boostingType
  • fixedParameters.growPolicy
  • fixedParameters.learningRate
  • fixedParameters.maxBin
  • fixedParameters.maxDepth
  • fixedParameters.maxLeaves
  • fixedParameters.minDataInLeaf
  • fixedParameters.minSplitGain
  • fixedParameters.modelName
  • fixedParameters.nEstimators
  • fixedParameters.numLeaves
  • fixedParameters.preprocessorName
  • fixedParameters.regAlpha
  • fixedParameters.regLambda
  • fixedParameters.subsample
  • fixedParameters.subsampleFreq
  • fixedParameters.treeMethod
  • fixedParameters.withMean
  • fixedParameters.withStd
  • forecastingSettings.featuresUnknownAtForecastTime
  • forecastingSettings.mode
  • forecastingSettings.value
  • frequenza
  • stagionalità
  • stagionalità.mode
  • stagionalità.value
  • shortSeriesHandlingConfig
  • targetAggregateFunction
  • targetLags
  • targetLags.mode
  • targetLags.values
  • targetLags.value
  • targetRollingWindowSize
  • targetRollingWindowSize.mode
  • targetRollingWindowSize.value
  • timeColumnName
  • timeSeriesIdColumnNames
  • minDataInLeaf
  • minSplitGain
  • nEstimators
  • numLeaves
  • preprocessorName
  • regAlpha
  • regLambda
  • sottosample
  • subsampleFreq
  • treeMethod
  • withMean
  • withStd
  • trainingSettings.maxConcurrentTrials
  • trainingSettings.maxTrials
  • trainingSettings.timeout
  • modelSettings
  • modelSettings.advancedSettings
  • modelSettings.amsGradient
  • modelSettings.augmentations
  • modelSettings.beta1
  • modelSettings.beta2
  • modelSettings.checkpointFrequency
  • modelSettings.checkpointModel
  • modelSettings.checkpointModel.description
  • modelSettings.checkpointModel.jobInputType
  • modelSettings.checkpointModel.mode
  • modelSettings.checkpointModel.uri
  • modelSettings.checkpointRunId
  • modelSettings.distributed
  • modelSettings.earlyStopping
  • modelSettings.earlyStoppingDelay
  • modelSettings.earlyStoppingPatience
  • modelSettings.enableOnnxNormalization
  • modelSettings.evaluationFrequency
  • modelSettings.gradientAccumulationStep
  • modelSettings.layersToFreeze
  • modelSettings.learningRate
  • modelSettings.learningRateScheduler
  • modelSettings.modelName
  • modelSettings.momentum
  • modelSettings.nesterov
  • modelSettings.numberOfEpochs
  • modelSettings.numberOfWorkers
  • modelSettings.optimizer
  • modelSettings.randomSeed
  • modelSettings.stepLRGamma
  • modelSettings.stepLRStepSize
  • modelSettings.trainingBatchSize
  • modelSettings.trainingCropSize
  • modelSettings.validationBatchSize
  • modelSettings.validationCropSize
  • modelSettings.validationResizeSize
  • modelSettings.warmupCosineLRCycles
  • modelSettings.warmupCosineLRWarmupEpochs
  • modelSettings.weightDecay
  • modelSettings.weightedLoss
  • trainingCropSize
  • validationCropSize
  • validationResizeSize
  • weightedLoss
  • logTrainingMetrics
  • logValidationLoss
  • maxBin
  • maxDepth
  • maxLeaves
  • limitSettings.maxNodes
  • limitSettings.sweepConcurrentTrials
  • limitSettings.sweepTrials
  • trainingSettings.datasetLanguage
  • fixedParameters.gradientAccumulationSteps
  • fixedParameters.learningRateScheduler
  • fixedParameters.numberOfEpochs
  • fixedParameters.trainingBatchSize
  • fixedParameters.validationBatchSize
  • fixedParameters.warmupRatio
  • fixedParameters.weightDecay
  • gradientAccumulationSteps
  • warmupRatio
  • autologgerSettings
  • autologgerSettings.mlflowAutologger
  • distribution.address
  • distribution.dashboardPort
  • distribution.headNodeAdditionalArgs
  • distribution.includeDashboard
  • distribution.port
  • distribution.workerNodeAdditionalArgs
  • resources.locations.maxInstanceCount
  • resources.locations.properties
  • resources.locations.properties. {proprietà personalizzata}
  • resources.locations.shmSize
  • resources.jobType
  • resources.dataConfiguration
  • resources.dataConfiguration.dataId
  • resources.dataConfiguration.incrementalDataRefresh
  • resources.jobInstructions
  • resources.jobInstructions.uri
  • resources.labelCategories
  • resources.labelCategories. {proprietà personalizzata}
  • resources.labelCategories.classes
  • resources.labelCategories.classes. {proprietà personalizzata}
  • resources.labelCategories.classes.displayName
  • resources.labelCategories.classes.subclasses
  • resources.labelCategories.classes.subclasses. {proprietà personalizzata}
  • resources.labelCategories.displayName
  • resources.labelCategories.multiSelect
  • labelingJobMediaProperties
  • labelingJobMediaProperties.mediaType
  • labelingJobMediaProperties.annotationType
  • mlAssistConfiguration
  • mlAssistConfiguration.mlAssist
  • mlAssistConfiguration.inferencingComputeBinding
  • mlAssistConfiguration.trainingComputeBinding
  • archivio
  • archives.args
  • archives.codeId
  • archives.conf
  • archives.conf. {proprietà personalizzata}
  • archives.entry
  • archives.entry.sparkJobEntryType
  • archives.entry.file
  • archives.entry.className
  • archives.environmentId
  • archives.files
  • archives.jobOutputType
  • archives.assetName
  • archives.assetVersion
  • archives.autoDeleteSetting
  • archives.autoDeleteSetting.condition
  • archives.autoDeleteSetting.value
  • archives.mode
  • archives.uri
  • pyFiles
  • instanceType
  • Luoghi
  • locations.maxInstanceCount
  • locations.properties
  • locations.properties. {proprietà personalizzata}
  • locations.shmSize

Aggiornato:

  • properties.services. {customd property}.properties.outputs. {customized property}.jobOutputType - Aggiunta di valori: 'mlflow_model' (obbligatorio) 'mltable' (obbligatorio) 'triton_model' (obbligatorio) 'uri_file' (obbligatorio) 'uri_folder' (obbligatorio) (obbligatorio)
  • properties.services. {customd property}.properties.outputs. {customd property}.mode - Valori rimossi: 'Direct'

2023-04-01-preview

Aggiunto:

  • properties.notificationSetting.webhooks
  • properties.notificationSetting.webhooks. {customd property}
  • properties.notificationSetting.webhooks.eventType
  • properties.notificationSetting.webhooks.webhookType
  • proprietà. {proprietà personalizzata}
  • secretsConfiguration
  • secretsConfiguration. {proprietà personalizzata}
  • secretsConfiguration.uri
  • secretsConfiguration.workspaceSecretName
  • servizi
  • servizi. {proprietà personalizzata}
  • services.endpoint
  • services.jobServiceType
  • services.nodes
  • services.nodes.nodesValueType
  • services.port
  • services.properties
  • services.properties. {proprietà personalizzata}
  • outputs.autoDeleteSetting
  • outputs.autoDeleteSetting.condition
  • outputs.autoDeleteSetting.value
  • resources.shmSize
  • trainingSettings.featurizationSettings.blockedTransformers
  • forecastingSettings.featuresUnknownAtForecastTime
  • forecastingSettings.mode
  • forecastingSettings.value
  • frequenza
  • stagionalità
  • stagionalità.mode
  • stagionalità.value
  • shortSeriesHandlingConfig
  • targetAggregateFunction
  • targetLags
  • targetLags.mode
  • targetLags.values
  • targetLags.value
  • targetRollingWindowSize
  • targetRollingWindowSize.mode
  • targetRollingWindowSize.value
  • timeColumnName
  • timeSeriesIdColumnNames
  • trainingSettings.maxConcurrentTrials
  • trainingSettings.maxTrials
  • trainingSettings.timeout
  • modelSettings
  • modelSettings.advancedSettings
  • modelSettings.amsGradient
  • modelSettings.augmentations
  • modelSettings.beta1
  • modelSettings.beta2
  • modelSettings.checkpointFrequency
  • modelSettings.checkpointModel
  • modelSettings.checkpointModel.description
  • modelSettings.checkpointModel.jobInputType
  • modelSettings.checkpointModel.mode
  • modelSettings.checkpointModel.uri
  • modelSettings.checkpointRunId
  • modelSettings.distributed
  • modelSettings.earlyStopping
  • modelSettings.earlyStoppingDelay
  • modelSettings.earlyStoppingPatience
  • modelSettings.enableOnnxNormalization
  • modelSettings.evaluationFrequency
  • modelSettings.gradientAccumulationStep
  • modelSettings.layersToFreeze
  • modelSettings.learningRate
  • modelSettings.learningRateScheduler
  • modelSettings.modelName
  • modelSettings.momentum
  • modelSettings.nesterov
  • modelSettings.numberOfEpochs
  • modelSettings.numberOfWorkers
  • modelSettings.optimizer
  • modelSettings.randomSeed
  • modelSettings.stepLRGamma
  • modelSettings.stepLRStepSize
  • modelSettings.trainingBatchSize
  • modelSettings.trainingCropSize
  • modelSettings.validationBatchSize
  • modelSettings.validationCropSize
  • modelSettings.validationResizeSize
  • modelSettings.warmupCosineLRCycles
  • modelSettings.warmupCosineLRWarmupEpochs
  • modelSettings.weightDecay
  • modelSettings.weightedLoss
  • slancio
  • nesterov
  • numberOfEpochs
  • numberOfWorkers
  • ottimizzatore
  • randomSeed
  • stepLRGamma
  • stepLRStepSize
  • trainingBatchSize
  • trainingCropSize
  • validationCropSize
  • validationResizeSize
  • warmupCosineLRCycles
  • warmupCosineLRWarmupEpochs
  • weightedLoss
  • layersToFreeze
  • learningRateScheduler
  • logTrainingMetrics
  • logValidationLoss
  • maxSize
  • minSize
  • modelSize
  • multiScale
  • nmsIouThreshold
  • tileGridSize
  • tileOverlapRatio
  • tilePredictionsNmsThreshold
  • validationIouThreshold
  • validationMetricType
  • trainingSettings.datasetLanguage
  • gradientAccumulationSteps
  • distribution.address
  • distribution.dashboardPort
  • distribution.headNodeAdditionalArgs
  • distribution.includeDashboard
  • distribution.port
  • distribution.workerNodeAdditionalArgs
  • resources.locations.maxInstanceCount
  • resources.locations.properties
  • resources.locations.properties. {proprietà personalizzata}
  • resources.locations.shmSize
  • resources.jobType
  • resources.dataConfiguration
  • resources.dataConfiguration.dataId
  • resources.dataConfiguration.incrementalDataRefresh
  • resources.jobInstructions
  • resources.jobInstructions.uri
  • resources.labelCategories
  • resources.labelCategories. {proprietà personalizzata}
  • resources.labelCategories.classes
  • resources.labelCategories.classes. {proprietà personalizzata}
  • resources.labelCategories.classes.displayName
  • resources.labelCategories.classes.subclasses
  • resources.labelCategories.classes.subclasses. {proprietà personalizzata}
  • resources.labelCategories.displayName
  • resources.labelCategories.multiSelect
  • archives.jobOutputType
  • archives.assetName
  • archives.assetVersion
  • archives.autoDeleteSetting
  • archives.autoDeleteSetting.condition
  • archives.autoDeleteSetting.value
  • pyFiles
  • instanceType
  • Luoghi
  • locations.maxInstanceCount
  • locations.properties
  • locations.properties. {proprietà personalizzata}
  • locations.shmSize

Lontano:

  • properties.properties
  • properties.properties. {proprietà personalizzata}
  • properties.services
  • properties.services. {proprietà personalizzata}
  • properties.services.endpoint
  • properties.services.jobServiceType
  • properties.services.nodes
  • properties.services.nodes.nodesValueType
  • properties.services.port
  • properties.services.properties
  • properties.services.properties. {proprietà personalizzata}
  • taskDetails.sweepConcurrentTrials
  • trainingSettings.cvSplitColumnNames
  • trainingSettings.cvSplitColumnNames.featurizationSettings
  • trainingSettings.cvSplitColumnNames.featurizationSettings.blockedTransformers
  • forecastingSettings.forecastHorizon
  • forecastingSettings.forecastHorizon.mode
  • forecastingSettings.forecastHorizon.value
  • forecastingSettings.frequency
  • forecastingSettings.seasonality
  • forecastingSettings.seasonality.mode
  • forecastingSettings.seasonality.value
  • forecastingSettings.shortSeriesHandlingConfig
  • forecastingSettings.targetAggregateFunction
  • forecastingSettings.targetLags
  • forecastingSettings.targetLags.mode
  • forecastingSettings.targetLags.values
  • forecastingSettings.targetLags.uri
  • forecastingSettings.targetLags.jobInputType
  • forecastingSettings.targetRollingWindowSize
  • forecastingSettings.targetRollingWindowSize.mode
  • forecastingSettings.targetRollingWindowSize.value
  • forecastingSettings.timeColumnName
  • forecastingSettings.timeSeriesIdColumnNames
  • forecastingSettings.useStl
  • campionamentoAlgorithm
  • trainingSettings.limitSettings
  • trainingSettings.limitSettings.maxConcurrentTrials
  • trainingSettings.limitSettings.maxTrials
  • trainingSettings.limitSettings.timeout
  • trainingSettings.modelSettings
  • trainingSettings.modelSettings.advancedSettings
  • trainingSettings.modelSettings.amsGradient
  • trainingSettings.modelSettings.augmentations
  • trainingSettings.modelSettings.beta1
  • trainingSettings.modelSettings.beta2
  • trainingSettings.modelSettings.checkpointFrequency
  • trainingSettings.modelSettings.checkpointModel
  • trainingSettings.modelSettings.checkpointModel.description
  • trainingSettings.modelSettings.checkpointModel.jobInputType
  • trainingSettings.modelSettings.checkpointModel.mode
  • trainingSettings.modelSettings.checkpointModel.uri
  • trainingSettings.modelSettings.checkpointRunId
  • trainingSettings.modelSettings.distributed
  • trainingSettings.modelSettings.earlyStopping
  • trainingSettings.modelSettings.earlyStoppingDelay
  • trainingSettings.modelSettings.earlyStoppingPatience
  • trainingSettings.modelSettings.enableOnnxNormalization
  • trainingSettings.modelSettings.evaluationFrequency
  • trainingSettings.modelSettings.gradientAccumulationStep
  • trainingSettings.modelSettings.layersToFreeze
  • trainingSettings.modelSettings.learningRate
  • trainingSettings.modelSettings.learningRateScheduler
  • trainingSettings.modelSettings.modelName
  • trainingSettings.modelSettings.momentum
  • trainingSettings.modelSettings.nesterov
  • trainingSettings.modelSettings.numberOfEpochs
  • trainingSettings.modelSettings.numberOfWorkers
  • trainingSettings.modelSettings.optimizer
  • trainingSettings.modelSettings.randomSeed
  • trainingSettings.modelSettings.stepLRGamma
  • trainingSettings.modelSettings.stepLRStepSize
  • trainingSettings.modelSettings.trainingBatchSize
  • trainingSettings.modelSettings.trainingCropSize
  • trainingSettings.modelSettings.validationBatchSize
  • trainingSettings.modelSettings.validationCropSize
  • trainingSettings.modelSettings.validationResizeSize
  • trainingSettings.modelSettings.warmupCosineLRCycles
  • trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
  • trainingSettings.modelSettings.weightDecay
  • trainingSettings.modelSettings.weightedLoss
  • trainingSettings.primaryMetric
  • trainingSettings.searchSpace
  • trainingSettings.searchSpace.amsGradient
  • trainingSettings.searchSpace.augmentations
  • trainingSettings.searchSpace.beta1
  • trainingSettings.searchSpace.beta2
  • trainingSettings.searchSpace.distributed
  • trainingSettings.searchSpace.earlyStopping
  • trainingSettings.searchSpace.earlyStoppingDelay
  • trainingSettings.searchSpace.earlyStoppingPatience
  • trainingSettings.searchSpace.enableOnnxNormalization
  • trainingSettings.searchSpace.evaluationFrequency
  • trainingSettings.searchSpace.gradientAccumulationStep
  • trainingSettings.searchSpace.layersToFreeze
  • trainingSettings.searchSpace.learningRate
  • trainingSettings.searchSpace.learningRateScheduler
  • trainingSettings.searchSpace.modelName
  • trainingSettings.searchSpace.momentum
  • trainingSettings.searchSpace.nesterov
  • trainingSettings.searchSpace.numberOfEpochs
  • trainingSettings.searchSpace.numberOfWorkers
  • trainingSettings.searchSpace.optimizer
  • trainingSettings.searchSpace.randomSeed
  • trainingSettings.searchSpace.stepLRGamma
  • trainingSettings.searchSpace.stepLRStepSize
  • trainingSettings.searchSpace.trainingBatchSize
  • trainingSettings.searchSpace.trainingCropSize
  • trainingSettings.searchSpace.validationBatchSize
  • trainingSettings.searchSpace.validationCropSize
  • trainingSettings.searchSpace.validationResizeSize
  • trainingSettings.searchSpace.warmupCosineLRCycles
  • trainingSettings.searchSpace.warmupCosineLRWarmupEpochs
  • trainingSettings.searchSpace.weightDecay
  • trainingSettings.searchSpace.weightedLoss
  • trainingSettings.sweepSettings
  • trainingSettings.sweepSettings.earlyTermination
  • trainingSettings.sweepSettings.earlyTermination.delayEvaluation
  • trainingSettings.sweepSettings.earlyTermination.evaluationInterval
  • trainingSettings.sweepSettings.earlyTermination.policyType
  • trainingSettings.sweepSettings.earlyTermination.slackAmount
  • trainingSettings.sweepSettings.earlyTermination.slackFactor
  • trainingSettings.sweepSettings.earlyTermination.truncationPercentage
  • trainingSettings.sweepSettings.samplingAlgorithm
  • trainingSettings.validationData
  • trainingSettings.validationData.description
  • trainingSettings.validationData.jobInputType
  • trainingSettings.validationData.mode
  • trainingSettings.validationData.uri
  • trainingSettings.validationDataSize
  • trainingSettings.taskType
  • trainingSettings.modelSettings.boxDetectionsPerImage
  • trainingSettings.modelSettings.boxScoreThreshold
  • trainingSettings.modelSettings.imageSize
  • trainingSettings.modelSettings.maxSize
  • trainingSettings.modelSettings.minSize
  • trainingSettings.modelSettings.modelSize
  • trainingSettings.modelSettings.multiScale
  • trainingSettings.modelSettings.nmsIouThreshold
  • trainingSettings.modelSettings.tileGridSize
  • trainingSettings.modelSettings.tileOverlapRatio
  • trainingSettings.modelSettings.tilePredictionsNmsThreshold
  • trainingSettings.modelSettings.validationIouThreshold
  • trainingSettings.modelSettings.validationMetricType
  • trainingSettings.imageSize
  • trainingSettings.layersToFreeze
  • trainingSettings.learningRate
  • trainingSettings.learningRateScheduler
  • trainingSettings.maxSize
  • trainingSettings.minSize
  • trainingSettings.modelName
  • trainingSettings.modelSize
  • trainingSettings.momentum
  • trainingSettings.multiScale
  • trainingSettings.nesterov
  • trainingSettings.nmsIouThreshold
  • trainingSettings.numberOfEpochs
  • trainingSettings.numberOfWorkers
  • trainingSettings.optimizer
  • trainingSettings.randomSeed
  • trainingSettings.stepLRGamma
  • trainingSettings.stepLRStepSize
  • trainingSettings.tileGridSize
  • trainingSettings.tileOverlapRatio
  • trainingSettings.tilePredictionsNmsThreshold
  • trainingSettings.trainingBatchSize
  • trainingSettings.validationBatchSize
  • trainingSettings.validationIouThreshold
  • trainingSettings.validationMetricType
  • trainingSettings.warmupCosineLRCycles
  • trainingSettings.warmupCosineLRWarmupEpochs
  • trainingSettings.weightDecay
  • trainingSettings.featurizationSettings.datasetLanguage
  • trainingSettings.fixedParameters
  • trainingSettings.fixedParameters.gradientAccumulationSteps
  • trainingSettings.fixedParameters.learningRate
  • trainingSettings.fixedParameters.learningRateScheduler
  • trainingSettings.fixedParameters.modelName
  • trainingSettings.fixedParameters.numberOfEpochs
  • trainingSettings.fixedParameters.trainingBatchSize
  • trainingSettings.fixedParameters.validationBatchSize
  • trainingSettings.fixedParameters.warmupRatio
  • trainingSettings.fixedParameters.weightDecay
  • trainingSettings.limitSettings.maxNodes
  • trainingSettings.limitSettings.trialTimeout
  • trainingSettings.warmupRatio
  • resources.subclasses
  • resources.subclasses. {proprietà personalizzata}
  • displayName
  • multiSelect
  • archives.description
  • archives.jobInputType
  • archives.value
  • Vasi

Aggiornato:

  • properties.services. {customd property}.properties.outputs. {customd property}.jobOutputType - Valori rimossi: 'mlflow_model' (obbligatorio) 'mltable' (obbligatorio) 'triton_model' (obbligatorio) 'uri_file' (obbligatorio) 'uri_folder' (obbligatorio)
  • properties.services. {customd property}.properties.taskDetails.trainingData.trainingSettings.stackEnsembleSettings.trainingSettings.sweepSettings.trainingSettings.trainingSettings.sweepSettings.distribution.distributionType - Valori aggiunti: 'Ray' (obbligatorio)

2023-02-01-preview

Aggiunto:

  • properties.notificationSetting
  • properties.notificationSetting.emailOn
  • properties.notificationSetting.emails
  • queueSettings
  • queueSettings.jobTier
  • queueSettings.priority
  • resources.locations
  • taskDetails.sweepConcurrentTrials
  • taskDetails.sweepTrials
  • taskDetails.timeout
  • taskDetails.trialTimeout
  • positiveLabel
  • searchSpace.booster
  • searchSpace.boostingType
  • searchSpace.growPolicy
  • searchSpace.maxBin
  • searchSpace.maxDepth
  • searchSpace.maxLeaves
  • searchSpace.minDataInLeaf
  • searchSpace.minSplitGain
  • searchSpace.nEstimators
  • searchSpace.numLeaves
  • searchSpace.preprocessorName
  • searchSpace.regAlpha
  • searchSpace.regLambda
  • searchSpace.subsample
  • searchSpace.subsampleFreq
  • searchSpace.treeMethod
  • searchSpace.withMean
  • searchSpace.withStd
  • trainingSettings.cvSplitColumnNames
  • trainingSettings.cvSplitColumnNames.featurizationSettings
  • trainingSettings.cvSplitColumnNames.featurizationSettings.blockedTransformers
  • forecastingSettings
  • forecastingSettings.countryOrRegionForHolidays
  • forecastingSettings.cvStepSize
  • forecastingSettings.featureLags
  • forecastingSettings.forecastHorizon
  • forecastingSettings.forecastHorizon.mode
  • forecastingSettings.forecastHorizon.value
  • forecastingSettings.frequency
  • forecastingSettings.seasonality
  • forecastingSettings.seasonality.mode
  • forecastingSettings.seasonality.value
  • forecastingSettings.shortSeriesHandlingConfig
  • forecastingSettings.targetAggregateFunction
  • forecastingSettings.targetLags
  • forecastingSettings.targetLags.mode
  • forecastingSettings.targetLags.values
  • forecastingSettings.targetLags.uri
  • forecastingSettings.targetLags.jobInputType
  • forecastingSettings.targetRollingWindowSize
  • forecastingSettings.targetRollingWindowSize.mode
  • forecastingSettings.targetRollingWindowSize.value
  • forecastingSettings.timeColumnName
  • forecastingSettings.timeSeriesIdColumnNames
  • forecastingSettings.useStl
  • campionamentoAlgorithm
  • trainingSettings.modelSettings
  • trainingSettings.modelSettings.advancedSettings
  • trainingSettings.modelSettings.amsGradient
  • trainingSettings.modelSettings.augmentations
  • trainingSettings.modelSettings.beta1
  • trainingSettings.modelSettings.beta2
  • trainingSettings.modelSettings.checkpointFrequency
  • trainingSettings.modelSettings.checkpointModel
  • trainingSettings.modelSettings.checkpointModel.description
  • trainingSettings.modelSettings.checkpointModel.jobInputType
  • trainingSettings.modelSettings.checkpointModel.mode
  • trainingSettings.modelSettings.checkpointModel.uri
  • trainingSettings.modelSettings.checkpointRunId
  • trainingSettings.modelSettings.distributed
  • trainingSettings.modelSettings.earlyStopping
  • trainingSettings.modelSettings.earlyStoppingDelay
  • trainingSettings.modelSettings.earlyStoppingPatience
  • trainingSettings.modelSettings.enableOnnxNormalization
  • trainingSettings.modelSettings.evaluationFrequency
  • trainingSettings.modelSettings.gradientAccumulationStep
  • trainingSettings.modelSettings.layersToFreeze
  • trainingSettings.modelSettings.learningRate
  • trainingSettings.modelSettings.learningRateScheduler
  • trainingSettings.modelSettings.modelName
  • trainingSettings.modelSettings.momentum
  • trainingSettings.modelSettings.nesterov
  • trainingSettings.modelSettings.numberOfEpochs
  • trainingSettings.modelSettings.numberOfWorkers
  • trainingSettings.modelSettings.optimizer
  • trainingSettings.modelSettings.randomSeed
  • trainingSettings.modelSettings.stepLRGamma
  • trainingSettings.modelSettings.stepLRStepSize
  • trainingSettings.modelSettings.trainingBatchSize
  • trainingSettings.modelSettings.trainingCropSize
  • trainingSettings.modelSettings.validationBatchSize
  • trainingSettings.modelSettings.validationCropSize
  • trainingSettings.modelSettings.validationResizeSize
  • trainingSettings.modelSettings.warmupCosineLRCycles
  • trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
  • trainingSettings.modelSettings.weightDecay
  • trainingSettings.modelSettings.weightedLoss
  • trainingSettings.searchSpace.amsGradient
  • trainingSettings.searchSpace.augmentations
  • trainingSettings.searchSpace.beta1
  • trainingSettings.searchSpace.beta2
  • trainingSettings.searchSpace.distributed
  • trainingSettings.searchSpace.earlyStopping
  • trainingSettings.searchSpace.earlyStoppingDelay
  • trainingSettings.searchSpace.earlyStoppingPatience
  • trainingSettings.searchSpace.enableOnnxNormalization
  • trainingSettings.searchSpace.evaluationFrequency
  • trainingSettings.searchSpace.gradientAccumulationStep
  • trainingSettings.searchSpace.layersToFreeze
  • trainingSettings.searchSpace.learningRate
  • trainingSettings.searchSpace.learningRateScheduler
  • trainingSettings.searchSpace.modelName
  • trainingSettings.searchSpace.momentum
  • trainingSettings.searchSpace.nesterov
  • trainingSettings.searchSpace.numberOfEpochs
  • trainingSettings.searchSpace.numberOfWorkers
  • trainingSettings.searchSpace.optimizer
  • trainingSettings.searchSpace.randomSeed
  • trainingSettings.searchSpace.stepLRGamma
  • trainingSettings.searchSpace.stepLRStepSize
  • trainingSettings.searchSpace.trainingBatchSize
  • trainingSettings.searchSpace.trainingCropSize
  • trainingSettings.searchSpace.validationBatchSize
  • trainingSettings.searchSpace.validationCropSize
  • trainingSettings.searchSpace.validationResizeSize
  • trainingSettings.searchSpace.warmupCosineLRCycles
  • trainingSettings.searchSpace.warmupCosineLRWarmupEpochs
  • trainingSettings.searchSpace.weightDecay
  • trainingSettings.searchSpace.weightedLoss
  • trainingSettings.sweepSettings
  • trainingSettings.sweepSettings.earlyTermination
  • trainingSettings.sweepSettings.earlyTermination.delayEvaluation
  • trainingSettings.sweepSettings.earlyTermination.evaluationInterval
  • trainingSettings.sweepSettings.earlyTermination.policyType
  • trainingSettings.sweepSettings.earlyTermination.slackAmount
  • trainingSettings.sweepSettings.earlyTermination.slackFactor
  • trainingSettings.sweepSettings.earlyTermination.truncationPercentage
  • trainingSettings.sweepSettings.samplingAlgorithm
  • trainingSettings.validationData
  • trainingSettings.validationData.description
  • trainingSettings.validationData.jobInputType
  • trainingSettings.validationData.mode
  • trainingSettings.validationData.uri
  • trainingSettings.validationDataSize
  • trainingSettings.modelSettings.boxDetectionsPerImage
  • trainingSettings.modelSettings.boxScoreThreshold
  • trainingSettings.modelSettings.imageSize
  • trainingSettings.modelSettings.maxSize
  • trainingSettings.modelSettings.minSize
  • trainingSettings.modelSettings.modelSize
  • trainingSettings.modelSettings.multiScale
  • trainingSettings.modelSettings.nmsIouThreshold
  • trainingSettings.modelSettings.tileGridSize
  • trainingSettings.modelSettings.tileOverlapRatio
  • trainingSettings.modelSettings.tilePredictionsNmsThreshold
  • trainingSettings.modelSettings.validationIouThreshold
  • trainingSettings.modelSettings.validationMetricType
  • trainingSettings.imageSize
  • trainingSettings.layersToFreeze
  • trainingSettings.maxSize
  • trainingSettings.minSize
  • trainingSettings.modelSize
  • trainingSettings.momentum
  • trainingSettings.multiScale
  • trainingSettings.nesterov
  • trainingSettings.nmsIouThreshold
  • trainingSettings.numberOfWorkers
  • trainingSettings.optimizer
  • trainingSettings.randomSeed
  • trainingSettings.stepLRGamma
  • trainingSettings.stepLRStepSize
  • trainingSettings.tileGridSize
  • trainingSettings.tileOverlapRatio
  • trainingSettings.tilePredictionsNmsThreshold
  • trainingSettings.validationIouThreshold
  • trainingSettings.validationMetricType
  • trainingSettings.warmupCosineLRCycles
  • trainingSettings.warmupCosineLRWarmupEpochs
  • validationBatchSize
  • warmupRatio
  • weightDecay
  • resources.subclasses
  • resources.subclasses. {proprietà personalizzata}
  • displayName
  • multiSelect
  • archives.args
  • archives.codeId
  • archives.conf
  • archives.conf. {proprietà personalizzata}
  • archives.entry
  • archives.entry.sparkJobEntryType
  • archives.entry.file
  • archives.entry.className
  • archives.environmentId
  • archives.files
  • archives.description
  • archives.jobInputType
  • archives.mode
  • archives.uri
  • archives.value
  • Vasi

Lontano:

  • resources.properties
  • resources.properties. {proprietà personalizzata}
  • resources.shmSize
  • taskDetails.limitSettings
  • taskDetails.limitSettings.enableEarlyTermination
  • taskDetails.limitSettings.exitScore
  • taskDetails.limitSettings.maxConcurrentTrials
  • taskDetails.limitSettings.maxCoresPerTrial
  • taskDetails.limitSettings.maxNodes
  • taskDetails.limitSettings.maxTrials
  • taskDetails.limitSettings.sweepConcurrentTrials
  • taskDetails.limitSettings.sweepTrials
  • taskDetails.limitSettings.timeout
  • taskDetails.limitSettings.trialTimeout
  • taskDetails.nCrossValidations
  • taskDetails.nCrossValidations.mode
  • taskDetails.nCrossValidations.value
  • taskDetails.positiveLabel
  • taskDetails.primaryMetric
  • taskDetails.searchSpace
  • taskDetails.weightColumnName
  • taskDetails.transformerParams
  • taskDetails.transformerParams. {proprietà personalizzata}
  • taskDetails.transformerParams.fields
  • taskDetails.transformerParams.forecastingSettings
  • taskDetails.transformerParams.forecastingSettings.countryOrRegionForHolidays
  • taskDetails.transformerParams.forecastingSettings.cvStepSize
  • taskDetails.transformerParams.forecastingSettings.featureLags
  • taskDetails.transformerParams.forecastingSettings.forecastHorizon
  • taskDetails.transformerParams.forecastingSettings.forecastHorizon.mode
  • taskDetails.transformerParams.forecastingSettings.forecastHorizon.value
  • taskDetails.transformerParams.forecastingSettings.frequency
  • taskDetails.transformerParams.forecastingSettings.seasonality
  • taskDetails.transformerParams.forecastingSettings.seasonality.mode
  • taskDetails.transformerParams.forecastingSettings.seasonality.value
  • taskDetails.transformerParams.forecastingSettings.shortSeriesHandlingConfig
  • taskDetails.transformerParams.forecastingSettings.targetAggregateFunction
  • taskDetails.transformerParams.forecastingSettings.targetLags
  • taskDetails.transformerParams.forecastingSettings.targetLags.mode
  • taskDetails.transformerParams.forecastingSettings.targetLags.values
  • taskDetails.transformerParams.forecastingSettings.targetLags.jobInputType
  • taskDetails.transformerParams.forecastingSettings.targetLags.uri
  • taskDetails.transformerParams.forecastingSettings.targetRollingWindowSize
  • taskDetails.transformerParams.forecastingSettings.targetRollingWindowSize.mode
  • taskDetails.transformerParams.forecastingSettings.targetRollingWindowSize.value
  • taskDetails.transformerParams.forecastingSettings.timeColumnName
  • taskDetails.transformerParams.forecastingSettings.timeSeriesIdColumnNames
  • taskDetails.transformerParams.forecastingSettings.sweepSettings
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.delayEvaluation
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.evaluationInterval
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.policyType
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.slackAmount
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.slackFactor
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.truncationPercentage
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.samplingAlgorithm
  • taskDetails.transformerParams.forecastingSettings.testData
  • taskDetails.transformerParams.forecastingSettings.testData.description
  • taskDetails.transformerParams.forecastingSettings.testData.jobInputType
  • taskDetails.transformerParams.forecastingSettings.testData.mode
  • taskDetails.transformerParams.forecastingSettings.testData.uri
  • taskDetails.transformerParams.forecastingSettings.testDataSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.allowedTrainingAlgorithms
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.weightColumnName
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.taskType
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings.maxConcurrentTrials
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings.maxTrials
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings.timeout
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.advancedSettings.advancedSettings
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.amsGradient
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.augmentations
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.beta1
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.beta2
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointFrequency
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.description
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.jobInputType
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.mode
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.uri
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointRunId
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.distributed
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.earlyStopping
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.earlyStoppingDelay
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.earlyStoppingPatience
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.enableOnnxNormalization
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.evaluationFrequency
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.gradientAccumulationStep
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.layersToFreeze
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.learningRate
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.learningRateScheduler
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.modelName
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.momentum
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.nesterov
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.numberOfEpochs
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.numberOfWorkers
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.optimizer
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.randomSeed
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.stepLRGamma
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.stepLRStepSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.trainingBatchSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.trainingCropSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.validationBatchSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.validationCropSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.validationResizeSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.warmupCosineLRCycles
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.weightDecay
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.weightedLoss
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.primaryMetric
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.searchSpace
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.earlyStoppingDelay
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.earlyStoppingPatience
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.enableOnnxNormalization
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.evaluationFrequency
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.gradientAccumulationStep
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.layersToFreeze
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.learningRate
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.learningRateScheduler
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelName
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.momentum
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.nesterov
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.numberOfEpochs
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.numberOfWorkers
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.optimizer
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.randomSeed
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.stepLRGamma
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.stepLRStepSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.trainingBatchSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.trainingCropSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.validationBatchSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.validationCropSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.validationResizeSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.warmupCosineLRCycles
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.warmupCosineLRWarmupEpochs
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.weightDecay
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.weightedLoss
  • taskDetails.transformerParams.forecastingSettings.primaryMetric
  • taskDetails.transformerParams.forecastingSettings.searchSpace
  • taskDetails.transformerParams.forecastingSettings.distributed
  • taskDetails.transformerParams.forecastingSettings.earlyStopping
  • taskDetails.transformerParams.forecastingSettings.earlyStoppingDelay
  • taskDetails.transformerParams.forecastingSettings.earlyStoppingPatience
  • taskDetails.transformerParams.forecastingSettings.enableOnnxNormalization
  • taskDetails.transformerParams.forecastingSettings.evaluationFrequency
  • taskDetails.transformerParams.forecastingSettings.gradientAccumulationStep
  • taskDetails.transformerParams.forecastingSettings.imageSize
  • taskDetails.transformerParams.forecastingSettings.layersToFreeze
  • taskDetails.transformerParams.forecastingSettings.learningRate
  • taskDetails.transformerParams.forecastingSettings.learningRateScheduler
  • taskDetails.transformerParams.forecastingSettings.maxSize
  • taskDetails.transformerParams.forecastingSettings.minSize
  • taskDetails.transformerParams.forecastingSettings.modelName
  • taskDetails.transformerParams.forecastingSettings.modelSize
  • taskDetails.transformerParams.forecastingSettings.momentum
  • taskDetails.transformerParams.forecastingSettings.multiScale
  • taskDetails.transformerParams.forecastingSettings.nesterov
  • taskDetails.transformerParams.forecastingSettings.nmsIouThreshold
  • taskDetails.transformerParams.forecastingSettings.numberOfEpochs
  • taskDetails.transformerParams.forecastingSettings.numberOfWorkers
  • taskDetails.transformerParams.forecastingSettings.optimizer
  • taskDetails.transformerParams.forecastingSettings.randomSeed
  • taskDetails.transformerParams.forecastingSettings.stepLRGamma
  • taskDetails.transformerParams.forecastingSettings.stepLRStepSize
  • taskDetails.transformerParams.forecastingSettings.tileGridSize
  • taskDetails.transformerParams.forecastingSettings.tileOverlapRatio
  • taskDetails.transformerParams.forecastingSettings.tilePredictionsNmsThreshold
  • taskDetails.transformerParams.forecastingSettings.trainingBatchSize
  • taskDetails.transformerParams.forecastingSettings.validationBatchSize
  • taskDetails.transformerParams.forecastingSettings.validationIouThreshold
  • taskDetails.transformerParams.forecastingSettings.validationMetricType
  • taskDetails.transformerParams.forecastingSettings.warmupCosineLRCycles
  • taskDetails.transformerParams.forecastingSettings.warmupCosineLRWarmupEpochs
  • taskDetails.transformerParams.forecastingSettings.weightDecay
  • taskDetails.transformerParams.primaryMetric
  • taskDetails.transformerParams.searchSpace
  • taskDetails.transformerParams.distributed
  • taskDetails.transformerParams.earlyStopping
  • taskDetails.transformerParams.earlyStoppingDelay
  • taskDetails.transformerParams.earlyStoppingPatience
  • taskDetails.transformerParams.enableOnnxNormalization
  • taskDetails.transformerParams.evaluationFrequency
  • taskDetails.transformerParams.gradientAccumulationStep
  • taskDetails.transformerParams.imageSize
  • taskDetails.transformerParams.layersToFreeze
  • taskDetails.transformerParams.learningRate
  • taskDetails.transformerParams.learningRateScheduler
  • taskDetails.transformerParams.maxSize
  • taskDetails.transformerParams.minSize
  • taskDetails.transformerParams.modelName
  • taskDetails.transformerParams.modelSize
  • taskDetails.transformerParams.momentum
  • taskDetails.transformerParams.multiScale
  • taskDetails.transformerParams.nesterov
  • taskDetails.transformerParams.nmsIouThreshold
  • taskDetails.transformerParams.numberOfEpochs
  • taskDetails.transformerParams.numberOfWorkers
  • taskDetails.transformerParams.optimizer
  • taskDetails.transformerParams.randomSeed
  • taskDetails.transformerParams.stepLRGamma
  • taskDetails.transformerParams.stepLRStepSize
  • taskDetails.transformerParams.tileGridSize
  • taskDetails.transformerParams.tileOverlapRatio
  • taskDetails.transformerParams.tilePredictionsNmsThreshold
  • taskDetails.transformerParams.trainingBatchSize
  • taskDetails.transformerParams.validationBatchSize
  • taskDetails.transformerParams.validationIouThreshold
  • taskDetails.transformerParams.validationMetricType
  • taskDetails.transformerParams.warmupCosineLRCycles
  • taskDetails.transformerParams.warmupCosineLRWarmupEpochs
  • taskDetails.transformerParams.weightDecay
  • Booster
  • boostingType
  • growPolicy
  • trainingSettings.weightColumnName
  • trainingSettings.gradientAccumulationSteps
  • searchSpace.gradientAccumulationSteps
  • searchSpace.learningRateScheduler
  • searchSpace.numberOfEpochs
  • searchSpace.trainingBatchSize
  • searchSpace.validationBatchSize
  • searchSpace.warmupRatio
  • searchSpace.weightDecay
  • dataConfiguration
  • dataConfiguration.dataId
  • dataConfiguration.incrementalDataRefresh
  • jobInstructions
  • jobInstructions.uri
  • labelCategories
  • labelCategories. {proprietà personalizzata}
  • labelCategories.classes
  • labelCategories.classes. {proprietà personalizzata}
  • labelCategories.classes.displayName
  • labelCategories.classes.subclasses
  • labelCategories.classes.subclasses. {proprietà personalizzata}
  • labelCategories.displayName
  • labelCategories.multiSelect

2022-12-01-preview

Aggiunto:

  • properties.services.nodes
  • properties.services.nodes.nodesValueType
  • outputs.assetName
  • outputs.assetVersion
  • taskDetails.limitSettings
  • taskDetails.limitSettings.enableEarlyTermination
  • taskDetails.limitSettings.exitScore
  • taskDetails.limitSettings.maxConcurrentTrials
  • taskDetails.limitSettings.maxCoresPerTrial
  • taskDetails.limitSettings.maxNodes
  • taskDetails.limitSettings.maxTrials
  • taskDetails.limitSettings.sweepConcurrentTrials
  • taskDetails.limitSettings.sweepTrials
  • taskDetails.limitSettings.timeout
  • taskDetails.limitSettings.trialTimeout
  • taskDetails.nCrossValidations
  • taskDetails.nCrossValidations.mode
  • taskDetails.nCrossValidations.value
  • taskDetails.positiveLabel
  • taskDetails.primaryMetric
  • taskDetails.searchSpace
  • taskDetails.weightColumnName
  • taskDetails.transformerParams
  • taskDetails.transformerParams. {proprietà personalizzata}
  • taskDetails.transformerParams.fields
  • taskDetails.transformerParams.forecastingSettings
  • taskDetails.transformerParams.forecastingSettings.countryOrRegionForHolidays
  • taskDetails.transformerParams.forecastingSettings.cvStepSize
  • taskDetails.transformerParams.forecastingSettings.featureLags
  • taskDetails.transformerParams.forecastingSettings.forecastHorizon
  • taskDetails.transformerParams.forecastingSettings.forecastHorizon.mode
  • taskDetails.transformerParams.forecastingSettings.forecastHorizon.value
  • taskDetails.transformerParams.forecastingSettings.frequency
  • taskDetails.transformerParams.forecastingSettings.seasonality
  • taskDetails.transformerParams.forecastingSettings.seasonality.mode
  • taskDetails.transformerParams.forecastingSettings.seasonality.value
  • taskDetails.transformerParams.forecastingSettings.shortSeriesHandlingConfig
  • taskDetails.transformerParams.forecastingSettings.targetAggregateFunction
  • taskDetails.transformerParams.forecastingSettings.targetLags
  • taskDetails.transformerParams.forecastingSettings.targetLags.mode
  • taskDetails.transformerParams.forecastingSettings.targetLags.values
  • taskDetails.transformerParams.forecastingSettings.targetLags.jobInputType
  • taskDetails.transformerParams.forecastingSettings.targetLags.uri
  • taskDetails.transformerParams.forecastingSettings.targetRollingWindowSize
  • taskDetails.transformerParams.forecastingSettings.targetRollingWindowSize.mode
  • taskDetails.transformerParams.forecastingSettings.targetRollingWindowSize.value
  • taskDetails.transformerParams.forecastingSettings.timeColumnName
  • taskDetails.transformerParams.forecastingSettings.timeSeriesIdColumnNames
  • taskDetails.transformerParams.forecastingSettings.sweepSettings
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.delayEvaluation
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.evaluationInterval
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.policyType
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.slackAmount
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.slackFactor
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.earlyTermination.truncationPercentage
  • taskDetails.transformerParams.forecastingSettings.sweepSettings.samplingAlgorithm
  • taskDetails.transformerParams.forecastingSettings.testData
  • taskDetails.transformerParams.forecastingSettings.testData.description
  • taskDetails.transformerParams.forecastingSettings.testData.jobInputType
  • taskDetails.transformerParams.forecastingSettings.testData.mode
  • taskDetails.transformerParams.forecastingSettings.testData.uri
  • taskDetails.transformerParams.forecastingSettings.testDataSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.allowedTrainingAlgorithms
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.weightColumnName
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.taskType
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings.maxConcurrentTrials
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings.maxTrials
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.limitSettings.timeout
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.advancedSettings.advancedSettings
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.amsGradient
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.augmentations
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.beta1
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.beta2
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointFrequency
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.description
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.jobInputType
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.mode
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointModel.uri
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.checkpointRunId
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.distributed
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.earlyStopping
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.earlyStoppingDelay
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.earlyStoppingPatience
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.enableOnnxNormalization
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.evaluationFrequency
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.gradientAccumulationStep
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.layersToFreeze
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.learningRate
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.learningRateScheduler
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.modelName
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.momentum
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.nesterov
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.numberOfEpochs
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.numberOfWorkers
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.optimizer
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.randomSeed
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.stepLRGamma
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.stepLRStepSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.trainingBatchSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.trainingCropSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.validationBatchSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.validationCropSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.validationResizeSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.warmupCosineLRCycles
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.weightDecay
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelSettings.weightedLoss
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.primaryMetric
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.searchSpace
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.earlyStoppingDelay
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.earlyStoppingPatience
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.enableOnnxNormalization
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.evaluationFrequency
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.gradientAccumulationStep
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.layersToFreeze
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.learningRate
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.learningRateScheduler
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.modelName
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.momentum
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.nesterov
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.numberOfEpochs
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.numberOfWorkers
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.optimizer
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.randomSeed
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.stepLRGamma
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.stepLRStepSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.trainingBatchSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.trainingCropSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.validationBatchSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.validationCropSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.validationResizeSize
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.warmupCosineLRCycles
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.warmupCosineLRWarmupEpochs
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.weightDecay
  • taskDetails.transformerParams.forecastingSettings.trainingSettings.weightedLoss
  • taskDetails.transformerParams.forecastingSettings.primaryMetric
  • taskDetails.transformerParams.forecastingSettings.searchSpace
  • taskDetails.transformerParams.forecastingSettings.distributed
  • taskDetails.transformerParams.forecastingSettings.earlyStopping
  • taskDetails.transformerParams.forecastingSettings.earlyStoppingDelay
  • taskDetails.transformerParams.forecastingSettings.earlyStoppingPatience
  • taskDetails.transformerParams.forecastingSettings.enableOnnxNormalization
  • taskDetails.transformerParams.forecastingSettings.evaluationFrequency
  • taskDetails.transformerParams.forecastingSettings.gradientAccumulationStep
  • taskDetails.transformerParams.forecastingSettings.imageSize
  • taskDetails.transformerParams.forecastingSettings.layersToFreeze
  • taskDetails.transformerParams.forecastingSettings.learningRate
  • taskDetails.transformerParams.forecastingSettings.learningRateScheduler
  • taskDetails.transformerParams.forecastingSettings.maxSize
  • taskDetails.transformerParams.forecastingSettings.minSize
  • taskDetails.transformerParams.forecastingSettings.modelName
  • taskDetails.transformerParams.forecastingSettings.modelSize
  • taskDetails.transformerParams.forecastingSettings.momentum
  • taskDetails.transformerParams.forecastingSettings.multiScale
  • taskDetails.transformerParams.forecastingSettings.nesterov
  • taskDetails.transformerParams.forecastingSettings.nmsIouThreshold
  • taskDetails.transformerParams.forecastingSettings.numberOfEpochs
  • taskDetails.transformerParams.forecastingSettings.numberOfWorkers
  • taskDetails.transformerParams.forecastingSettings.optimizer
  • taskDetails.transformerParams.forecastingSettings.randomSeed
  • taskDetails.transformerParams.forecastingSettings.stepLRGamma
  • taskDetails.transformerParams.forecastingSettings.stepLRStepSize
  • taskDetails.transformerParams.forecastingSettings.tileGridSize
  • taskDetails.transformerParams.forecastingSettings.tileOverlapRatio
  • taskDetails.transformerParams.forecastingSettings.tilePredictionsNmsThreshold
  • taskDetails.transformerParams.forecastingSettings.trainingBatchSize
  • taskDetails.transformerParams.forecastingSettings.validationBatchSize
  • taskDetails.transformerParams.forecastingSettings.validationIouThreshold
  • taskDetails.transformerParams.forecastingSettings.validationMetricType
  • taskDetails.transformerParams.forecastingSettings.warmupCosineLRCycles
  • taskDetails.transformerParams.forecastingSettings.warmupCosineLRWarmupEpochs
  • taskDetails.transformerParams.forecastingSettings.weightDecay
  • taskDetails.transformerParams.primaryMetric
  • taskDetails.transformerParams.searchSpace
  • taskDetails.transformerParams.distributed
  • taskDetails.transformerParams.earlyStopping
  • taskDetails.transformerParams.earlyStoppingDelay
  • taskDetails.transformerParams.earlyStoppingPatience
  • taskDetails.transformerParams.enableOnnxNormalization
  • taskDetails.transformerParams.evaluationFrequency
  • taskDetails.transformerParams.gradientAccumulationStep
  • taskDetails.transformerParams.imageSize
  • taskDetails.transformerParams.layersToFreeze
  • taskDetails.transformerParams.learningRate
  • taskDetails.transformerParams.learningRateScheduler
  • taskDetails.transformerParams.maxSize
  • taskDetails.transformerParams.minSize
  • taskDetails.transformerParams.modelName
  • taskDetails.transformerParams.modelSize
  • taskDetails.transformerParams.momentum
  • taskDetails.transformerParams.multiScale
  • taskDetails.transformerParams.nesterov
  • taskDetails.transformerParams.nmsIouThreshold
  • taskDetails.transformerParams.numberOfEpochs
  • taskDetails.transformerParams.numberOfWorkers
  • taskDetails.transformerParams.optimizer
  • taskDetails.transformerParams.randomSeed
  • taskDetails.transformerParams.stepLRGamma
  • taskDetails.transformerParams.stepLRStepSize
  • taskDetails.transformerParams.tileGridSize
  • taskDetails.transformerParams.tileOverlapRatio
  • taskDetails.transformerParams.tilePredictionsNmsThreshold
  • taskDetails.transformerParams.trainingBatchSize
  • taskDetails.transformerParams.validationBatchSize
  • taskDetails.transformerParams.validationIouThreshold
  • taskDetails.transformerParams.validationMetricType
  • taskDetails.transformerParams.warmupCosineLRCycles
  • taskDetails.transformerParams.warmupCosineLRWarmupEpochs
  • taskDetails.transformerParams.weightDecay
  • fixedParameters
  • fixedParameters.booster
  • fixedParameters.boostingType
  • fixedParameters.growPolicy
  • fixedParameters.learningRate
  • fixedParameters.maxBin
  • fixedParameters.maxDepth
  • fixedParameters.maxLeaves
  • fixedParameters.minDataInLeaf
  • fixedParameters.minSplitGain
  • fixedParameters.modelName
  • fixedParameters.nEstimators
  • fixedParameters.numLeaves
  • fixedParameters.preprocessorName
  • fixedParameters.regAlpha
  • fixedParameters.regLambda
  • fixedParameters.subsample
  • fixedParameters.subsampleFreq
  • fixedParameters.treeMethod
  • fixedParameters.withMean
  • fixedParameters.withStd
  • limitSettings.maxNodes
  • limitSettings.sweepConcurrentTrials
  • limitSettings.sweepTrials
  • Booster
  • boostingType
  • growPolicy
  • maxBin
  • maxDepth
  • maxLeaves
  • minDataInLeaf
  • minSplitGain
  • nEstimators
  • numLeaves
  • preprocessorName
  • regAlpha
  • regLambda
  • sottosample
  • subsampleFreq
  • treeMethod
  • withMean
  • withStd
  • sweepSettings
  • sweepSettings.earlyTermination
  • sweepSettings.earlyTermination.delayEvaluation
  • sweepSettings.earlyTermination.evaluationInterval
  • sweepSettings.earlyTermination.policyType
  • sweepSettings.earlyTermination.slackAmount
  • sweepSettings.earlyTermination.slackFactor
  • sweepSettings.earlyTermination.truncationPercentage
  • sweepSettings.samplingAlgorithm
  • trainingSettings.featurizationSettings
  • trainingSettings.featurizationSettings.datasetLanguage
  • trainingSettings.fixedParameters
  • trainingSettings.fixedParameters.gradientAccumulationSteps
  • trainingSettings.fixedParameters.learningRate
  • trainingSettings.fixedParameters.learningRateScheduler
  • trainingSettings.fixedParameters.modelName
  • trainingSettings.fixedParameters.numberOfEpochs
  • trainingSettings.fixedParameters.trainingBatchSize
  • trainingSettings.fixedParameters.validationBatchSize
  • trainingSettings.fixedParameters.warmupRatio
  • trainingSettings.fixedParameters.weightDecay
  • trainingSettings.limitSettings.maxNodes
  • trainingSettings.limitSettings.trialTimeout
  • trainingSettings.gradientAccumulationSteps
  • trainingSettings.warmupRatio
  • fixedParameters.gradientAccumulationSteps
  • fixedParameters.learningRateScheduler
  • fixedParameters.numberOfEpochs
  • fixedParameters.trainingBatchSize
  • fixedParameters.validationBatchSize
  • fixedParameters.warmupRatio
  • fixedParameters.weightDecay
  • searchSpace.gradientAccumulationSteps
  • searchSpace.learningRate
  • searchSpace.learningRateScheduler
  • searchSpace.modelName
  • searchSpace.numberOfEpochs
  • searchSpace.trainingBatchSize
  • searchSpace.validationBatchSize
  • searchSpace.warmupRatio
  • searchSpace.weightDecay
  • autologgerSettings
  • autologgerSettings.mlflowAutologger
  • dataConfiguration
  • dataConfiguration.dataId
  • dataConfiguration.incrementalDataRefresh
  • jobInstructions
  • jobInstructions.uri
  • labelCategories
  • labelCategories. {proprietà personalizzata}
  • labelCategories.classes
  • labelCategories.classes. {proprietà personalizzata}
  • labelCategories.classes.displayName
  • labelCategories.classes.subclasses
  • labelCategories.classes.subclasses. {proprietà personalizzata}
  • labelCategories.displayName
  • labelCategories.multiSelect
  • labelingJobMediaProperties
  • labelingJobMediaProperties.mediaType
  • labelingJobMediaProperties.annotationType
  • mlAssistConfiguration
  • mlAssistConfiguration.mlAssist
  • mlAssistConfiguration.inferencingComputeBinding
  • mlAssistConfiguration.trainingComputeBinding
  • archivio

Lontano:

  • taskDetails.trainingSettings
  • taskDetails.trainingSettings.allowedTrainingAlgorithms
  • taskDetails.trainingSettings.blockedTrainingAlgorithms
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableDnnTraining
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableModelExplainability
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableOnnxCompatibleModels
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableStackEnsemble
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableVoteEnsemble
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.ensembleModelDownloadTimeout
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerKWargs
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerType
  • taskDetails.trainingSettings.validationData
  • taskDetails.trainingSettings.validationData.description
  • taskDetails.trainingSettings.validationData.jobInputType
  • taskDetails.trainingSettings.validationData.mode
  • taskDetails.trainingSettings.validationData.uri
  • taskDetails.trainingSettings.validationDataSize
  • taskDetails.trainingSettings.weightColumnName
  • taskDetails.trainingSettings.taskType
  • taskDetails.trainingSettings.cvSplitColumnNames
  • taskDetails.trainingSettings. {proprietà personalizzata}
  • taskDetails.trainingSettings.parameters
  • forecastingSettings
  • forecastingSettings.countryOrRegionForHolidays
  • forecastingSettings.cvStepSize
  • forecastingSettings.featureLags
  • forecastingSettings.forecastHorizon
  • forecastingSettings.forecastHorizon.mode
  • forecastingSettings.forecastHorizon.value
  • forecastingSettings.frequency
  • forecastingSettings.seasonality
  • forecastingSettings.seasonality.mode
  • forecastingSettings.seasonality.value
  • forecastingSettings.shortSeriesHandlingConfig
  • forecastingSettings.targetAggregateFunction
  • forecastingSettings.targetLags
  • forecastingSettings.targetLags.mode
  • forecastingSettings.targetLags.values
  • forecastingSettings.targetLags.parameterServerCount
  • forecastingSettings.targetLags.workerCount
  • forecastingSettings.targetRollingWindowSize
  • forecastingSettings.targetRollingWindowSize.mode
  • forecastingSettings.targetRollingWindowSize.value
  • forecastingSettings.timeColumnName
  • forecastingSettings.timeSeriesIdColumnNames
  • forecastingSettings.useStl
  • trainingSettings.allowedTrainingAlgorithms.blockedTrainingAlgorithms
  • trainingSettings.allowedTrainingAlgorithms.description
  • trainingSettings.allowedTrainingAlgorithms.jobInputType
  • trainingSettings.allowedTrainingAlgorithms.mode
  • trainingSettings.allowedTrainingAlgorithms.uri
  • trainingSettings.validationDataSize
  • trainingSettings.modelSettings
  • trainingSettings.modelSettings.advancedSettings
  • trainingSettings.modelSettings.amsGradient
  • trainingSettings.modelSettings.augmentations
  • trainingSettings.modelSettings.beta1
  • trainingSettings.modelSettings.beta2
  • trainingSettings.modelSettings.checkpointFrequency
  • trainingSettings.modelSettings.checkpointModel
  • trainingSettings.modelSettings.checkpointModel.description
  • trainingSettings.modelSettings.checkpointModel.jobInputType
  • trainingSettings.modelSettings.checkpointModel.mode
  • trainingSettings.modelSettings.checkpointModel.uri
  • trainingSettings.modelSettings.checkpointRunId
  • trainingSettings.modelSettings.distributed
  • trainingSettings.modelSettings.earlyStopping
  • trainingSettings.modelSettings.earlyStoppingDelay
  • trainingSettings.modelSettings.earlyStoppingPatience
  • trainingSettings.modelSettings.enableOnnxNormalization
  • trainingSettings.modelSettings.evaluationFrequency
  • trainingSettings.modelSettings.gradientAccumulationStep
  • trainingSettings.modelSettings.layersToFreeze
  • trainingSettings.modelSettings.learningRate
  • trainingSettings.modelSettings.learningRateScheduler
  • trainingSettings.modelSettings.modelName
  • trainingSettings.modelSettings.momentum
  • trainingSettings.modelSettings.nesterov
  • trainingSettings.modelSettings.numberOfEpochs
  • trainingSettings.modelSettings.numberOfWorkers
  • trainingSettings.modelSettings.optimizer
  • trainingSettings.modelSettings.randomSeed
  • trainingSettings.modelSettings.stepLRGamma
  • trainingSettings.modelSettings.stepLRStepSize
  • trainingSettings.modelSettings.trainingBatchSize
  • trainingSettings.modelSettings.trainingCropSize
  • trainingSettings.modelSettings.validationBatchSize
  • trainingSettings.modelSettings.validationCropSize
  • trainingSettings.modelSettings.validationResizeSize
  • trainingSettings.modelSettings.warmupCosineLRCycles
  • trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
  • trainingSettings.modelSettings.weightDecay
  • trainingSettings.modelSettings.weightedLoss
  • trainingSettings.earlyStoppingDelay
  • trainingSettings.earlyStoppingPatience
  • trainingSettings.enableOnnxNormalization
  • trainingSettings.evaluationFrequency
  • trainingSettings.gradientAccumulationStep
  • trainingSettings.layersToFreeze
  • trainingSettings.momentum
  • trainingSettings.nesterov
  • trainingSettings.numberOfWorkers
  • trainingSettings.optimizer
  • trainingSettings.randomSeed
  • trainingSettings.stepLRGamma
  • trainingSettings.stepLRStepSize
  • trainingSettings.trainingCropSize
  • trainingSettings.validationCropSize
  • trainingSettings.validationResizeSize
  • trainingSettings.warmupCosineLRCycles
  • trainingSettings.warmupCosineLRWarmupEpochs
  • trainingSettings.weightedLoss
  • distribuito
  • earlyStopping
  • earlyStoppingDelay
  • earlyStoppingPatience
  • enableOnnxNormalization
  • evaluationFrequency
  • gradientAccumulationStep
  • imageSize
  • layersToFreeze
  • learningRateScheduler
  • maxSize
  • minSize
  • modelSize
  • slancio
  • multiScale
  • nesterov
  • nmsIouThreshold
  • numberOfEpochs
  • numberOfWorkers
  • ottimizzatore
  • randomSeed
  • stepLRGamma
  • stepLRStepSize
  • tileGridSize
  • tileOverlapRatio
  • tilePredictionsNmsThreshold
  • trainingBatchSize
  • validationBatchSize
  • validationIouThreshold
  • validationMetricType
  • warmupCosineLRCycles
  • warmupCosineLRWarmupEpochs
  • weightDecay
  • trainingSettings.enableDnnTraining
  • trainingSettings.enableModelExplainability
  • trainingSettings.enableOnnxCompatibleModels
  • trainingSettings.enableStackEnsemble
  • trainingSettings.enableVoteEnsemble
  • trainingSettings.ensembleModelDownloadTimeout
  • trainingSettings.stackEnsembleSettings
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerType
  • validationDataSize
  • weightColumnName
  • earlyTermination
  • earlyTermination.delayEvaluation
  • earlyTermination.evaluationInterval
  • earlyTermination.policyType
  • earlyTermination.slackAmount
  • earlyTermination.slackFactor
  • earlyTermination.truncationPercentage
  • limits.maxConcurrentTrials
  • limits.maxTotalTrials
  • limits.trialTimeout
  • obiettivo
  • objective.goal
  • objective.primaryMetric
  • campionamentoAlgorithm
  • samplingAlgorithm.samplingAlgorithmType
  • samplingAlgorithm.rule
  • samplingAlgorithm.seed
  • prova
  • trial.codeId
  • trial.command
  • trial.distribution
  • trial.distribution.distributionType
  • trial.distribution.processCountPerInstance
  • trial.distribution.parameterServerCount
  • trial.distribution.workerCount
  • trial.environmentId
  • trial.environmentVariables
  • trial.environmentVariables. {proprietà personalizzata}
  • trial.resources
  • trial.resources.dockerArgs
  • trial.resources.instanceCount
  • trial.resources.instanceType
  • trial.resources.properties
  • trial.resources.properties. {proprietà personalizzata}
  • trial.resources.shmSize

Aggiornato:

  • properties.services. {customd property}.properties.outputs. {customd property}.mode - Aggiunta di valori: 'Direct'

2022-10-01

Aggiunto:

  • taskDetails.trainingSettings
  • taskDetails.trainingSettings.allowedTrainingAlgorithms
  • taskDetails.trainingSettings.blockedTrainingAlgorithms
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableDnnTraining
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableModelExplainability
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableOnnxCompatibleModels
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableStackEnsemble
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableVoteEnsemble
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.ensembleModelDownloadTimeout
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerKWargs
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerType
  • taskDetails.trainingSettings.validationData
  • taskDetails.trainingSettings.validationData.description
  • taskDetails.trainingSettings.validationData.jobInputType
  • taskDetails.trainingSettings.validationData.mode
  • taskDetails.trainingSettings.validationData.uri
  • taskDetails.trainingSettings.validationDataSize
  • taskDetails.trainingSettings.weightColumnName
  • taskDetails.trainingSettings.taskType
  • taskDetails.trainingSettings.cvSplitColumnNames
  • taskDetails.trainingSettings. {proprietà personalizzata}
  • taskDetails.trainingSettings.parameters
  • forecastingSettings.targetLags.parameterServerCount
  • forecastingSettings.targetLags.workerCount
  • forecastingSettings.useStl
  • trainingSettings.allowedTrainingAlgorithms.blockedTrainingAlgorithms
  • trainingSettings.allowedTrainingAlgorithms.description
  • trainingSettings.allowedTrainingAlgorithms.jobInputType
  • trainingSettings.allowedTrainingAlgorithms.mode
  • trainingSettings.allowedTrainingAlgorithms.uri
  • trainingSettings.validationDataSize
  • trainingSettings.weightColumnName
  • trainingSettings.enableDnnTraining
  • trainingSettings.enableModelExplainability
  • trainingSettings.enableOnnxCompatibleModels
  • trainingSettings.enableStackEnsemble
  • trainingSettings.enableVoteEnsemble
  • trainingSettings.ensembleModelDownloadTimeout
  • trainingSettings.stackEnsembleSettings
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerType
  • validationData
  • validationData.description
  • validationData.jobInputType
  • validationData.mode
  • validationData.uri
  • validationDataSize
  • weightColumnName
  • taskType
  • featurizationSettings
  • featurizationSettings.datasetLanguage
  • earlyTermination
  • earlyTermination.delayEvaluation
  • earlyTermination.evaluationInterval
  • earlyTermination.policyType
  • earlyTermination.slackAmount
  • earlyTermination.slackFactor
  • earlyTermination.truncationPercentage
  • limits.maxConcurrentTrials
  • limits.maxTotalTrials
  • limits.trialTimeout
  • obiettivo
  • objective.goal
  • objective.primaryMetric
  • campionamentoAlgorithm
  • samplingAlgorithm.samplingAlgorithmType
  • samplingAlgorithm.rule
  • samplingAlgorithm.seed
  • prova
  • trial.codeId
  • trial.command
  • trial.distribution
  • trial.distribution.distributionType
  • trial.distribution.processCountPerInstance
  • trial.distribution.parameterServerCount
  • trial.distribution.workerCount
  • trial.environmentId
  • trial.environmentVariables
  • trial.environmentVariables. {proprietà personalizzata}
  • trial.resources
  • trial.resources.dockerArgs
  • trial.resources.instanceCount
  • trial.resources.instanceType
  • trial.resources.properties
  • trial.resources.properties. {proprietà personalizzata}
  • trial.resources.shmSize

Lontano:

  • properties.services.nodes
  • properties.services.nodes.nodesValueType
  • taskDetails.limitSettings
  • taskDetails.limitSettings.enableEarlyTermination
  • taskDetails.limitSettings.exitScore
  • taskDetails.limitSettings.maxConcurrentTrials
  • taskDetails.limitSettings.maxCoresPerTrial
  • taskDetails.limitSettings.maxTrials
  • taskDetails.limitSettings.sweepConcurrentTrials
  • taskDetails.limitSettings.sweepTrials
  • taskDetails.limitSettings.timeout
  • taskDetails.limitSettings.trialTimeout
  • taskDetails.nCrossValidations
  • taskDetails.nCrossValidations.mode
  • taskDetails.nCrossValidations.value
  • taskDetails.positiveLabel
  • taskDetails.primaryMetric
  • taskDetails.searchSpace
  • taskDetails.booster
  • taskDetails.boostingType
  • taskDetails.growPolicy
  • taskDetails.learningRate
  • taskDetails.maxBin
  • taskDetails.maxDepth
  • taskDetails.maxLeaves
  • taskDetails.minDataInLeaf
  • taskDetails.minSplitGain
  • taskDetails.modelName
  • taskDetails.nEstimators
  • taskDetails.numLeaves
  • taskDetails.preprocessorName
  • taskDetails.regAlpha
  • taskDetails.regLambda
  • taskDetails.subsample
  • taskDetails.subsampleFreq
  • taskDetails.treeMethod
  • taskDetails.withMean
  • taskDetails.withStd
  • sweepSettings
  • sweepSettings.earlyTermination
  • sweepSettings.earlyTermination.delayEvaluation
  • sweepSettings.earlyTermination.evaluationInterval
  • sweepSettings.earlyTermination.policyType
  • sweepSettings.earlyTermination.slackAmount
  • sweepSettings.earlyTermination.slackFactor
  • sweepSettings.earlyTermination.truncationPercentage
  • sweepSettings.samplingAlgorithm
  • trainingSettings.cvSplitColumnNames
  • trainingSettings. {proprietà personalizzata}
  • trainingSettings.parameters
  • fixedParameters
  • fixedParameters.booster
  • fixedParameters.boostingType
  • fixedParameters.growPolicy
  • fixedParameters.learningRate
  • fixedParameters.maxBin
  • fixedParameters.maxDepth
  • fixedParameters.maxLeaves
  • fixedParameters.minDataInLeaf
  • fixedParameters.minSplitGain
  • fixedParameters.modelName
  • fixedParameters.nEstimators
  • fixedParameters.numLeaves
  • fixedParameters.preprocessorName
  • fixedParameters.regAlpha
  • fixedParameters.regLambda
  • fixedParameters.subsample
  • fixedParameters.subsampleFreq
  • fixedParameters.treeMethod
  • fixedParameters.withMean
  • fixedParameters.withStd
  • forecastingSettings.targetLags.jobInputType
  • forecastingSettings.targetLags.value
  • forecastingSettings.targetLags.uri
  • forecastingSettings.earlyTermination
  • forecastingSettings.earlyTermination.delayEvaluation
  • forecastingSettings.earlyTermination.evaluationInterval
  • forecastingSettings.earlyTermination.policyType
  • forecastingSettings.earlyTermination.slackAmount
  • forecastingSettings.earlyTermination.slackFactor
  • forecastingSettings.earlyTermination.truncationPercentage
  • forecastingSettings.samplingAlgorithm
  • limitSettings.sweepConcurrentTrials
  • limitSettings.sweepTrials
  • boostingType
  • growPolicy
  • maxBin
  • maxDepth
  • maxLeaves
  • minDataInLeaf
  • minSplitGain
  • nEstimators
  • numLeaves
  • preprocessorName
  • regAlpha
  • regLambda
  • sottosample
  • subsampleFreq
  • treeMethod
  • withMean
  • withStd
  • trainingSettings.featurizationSettings
  • trainingSettings.featurizationSettings.datasetLanguage
  • trainingSettings.fixedParameters
  • trainingSettings.fixedParameters.gradientAccumulationSteps
  • trainingSettings.fixedParameters.learningRate
  • trainingSettings.fixedParameters.learningRateScheduler
  • trainingSettings.fixedParameters.modelName
  • trainingSettings.fixedParameters.numberOfEpochs
  • trainingSettings.fixedParameters.trainingBatchSize
  • trainingSettings.fixedParameters.validationBatchSize
  • trainingSettings.fixedParameters.warmupRatio
  • trainingSettings.fixedParameters.weightDecay
  • trainingSettings.limitSettings.maxNodes
  • trainingSettings.limitSettings.trialTimeout
  • trainingSettings.searchSpace.gradientAccumulationSteps
  • trainingSettings.searchSpace.learningRate
  • trainingSettings.searchSpace.learningRateScheduler
  • trainingSettings.searchSpace.modelName
  • trainingSettings.searchSpace.numberOfEpochs
  • trainingSettings.searchSpace.trainingBatchSize
  • trainingSettings.searchSpace.validationBatchSize
  • trainingSettings.searchSpace.warmupRatio
  • trainingSettings.searchSpace.weightDecay
  • trainingSettings.sweepSettings
  • trainingSettings.sweepSettings.earlyTermination
  • trainingSettings.sweepSettings.earlyTermination.delayEvaluation
  • trainingSettings.sweepSettings.earlyTermination.evaluationInterval
  • trainingSettings.sweepSettings.earlyTermination.policyType
  • trainingSettings.sweepSettings.earlyTermination.slackAmount
  • trainingSettings.sweepSettings.earlyTermination.slackFactor
  • trainingSettings.sweepSettings.earlyTermination.truncationPercentage
  • trainingSettings.sweepSettings.samplingAlgorithm
  • trainingSettings.validationData
  • trainingSettings.validationData.description
  • trainingSettings.validationData.jobInputType
  • trainingSettings.validationData.mode
  • trainingSettings.validationData.uri
  • autologgerSettings
  • autologgerSettings.mlflowAutologger
  • dataConfiguration
  • dataConfiguration.dataId
  • dataConfiguration.incrementalDataRefreshEnabled
  • jobInstructions
  • jobInstructions.uri
  • labelCategories
  • labelCategories. {proprietà personalizzata}
  • labelCategories.classes
  • labelCategories.classes. {proprietà personalizzata}
  • labelCategories.classes.displayName
  • labelCategories.classes.subclasses
  • labelCategories.classes.subclasses. {proprietà personalizzata}
  • labelCategories.displayName
  • labelCategories.multiSelectEnabled
  • labelingJobMediaProperties
  • labelingJobMediaProperties.mediaType
  • labelingJobMediaProperties.annotationType
  • mlAssistConfiguration
  • mlAssistConfiguration.mlAssist
  • mlAssistConfiguration.inferencingComputeBinding
  • mlAssistConfiguration.trainingComputeBinding
  • archivio

Aggiornato:

  • properties.services. {customd property}.properties.outputs. {customd property}.mode - Valori rimossi: 'Direct'

Anteprima 2022-10-01

Aggiunto:

  • properties.services.nodes
  • properties.services.nodes.nodesValueType
  • taskDetails.limitSettings
  • taskDetails.limitSettings.enableEarlyTermination
  • taskDetails.limitSettings.exitScore
  • taskDetails.limitSettings.maxConcurrentTrials
  • taskDetails.limitSettings.maxCoresPerTrial
  • taskDetails.limitSettings.maxTrials
  • taskDetails.limitSettings.sweepConcurrentTrials
  • taskDetails.limitSettings.sweepTrials
  • taskDetails.limitSettings.timeout
  • taskDetails.limitSettings.trialTimeout
  • taskDetails.nCrossValidations
  • taskDetails.nCrossValidations.mode
  • taskDetails.nCrossValidations.value
  • taskDetails.positiveLabel
  • taskDetails.primaryMetric
  • taskDetails.searchSpace
  • taskDetails.booster
  • taskDetails.boostingType
  • taskDetails.growPolicy
  • taskDetails.learningRate
  • taskDetails.maxBin
  • taskDetails.maxDepth
  • taskDetails.maxLeaves
  • taskDetails.minDataInLeaf
  • taskDetails.minSplitGain
  • taskDetails.modelName
  • taskDetails.nEstimators
  • taskDetails.numLeaves
  • taskDetails.preprocessorName
  • taskDetails.regAlpha
  • taskDetails.regLambda
  • taskDetails.subsample
  • taskDetails.subsampleFreq
  • taskDetails.treeMethod
  • taskDetails.withMean
  • taskDetails.withStd
  • sweepSettings
  • sweepSettings.earlyTermination
  • sweepSettings.earlyTermination.delayEvaluation
  • sweepSettings.earlyTermination.evaluationInterval
  • sweepSettings.earlyTermination.policyType
  • sweepSettings.earlyTermination.slackAmount
  • sweepSettings.earlyTermination.slackFactor
  • sweepSettings.earlyTermination.truncationPercentage
  • sweepSettings.samplingAlgorithm
  • trainingSettings.cvSplitColumnNames
  • trainingSettings. {proprietà personalizzata}
  • trainingSettings.parameters
  • fixedParameters
  • fixedParameters.booster
  • fixedParameters.boostingType
  • fixedParameters.growPolicy
  • fixedParameters.learningRate
  • fixedParameters.maxBin
  • fixedParameters.maxDepth
  • fixedParameters.maxLeaves
  • fixedParameters.minDataInLeaf
  • fixedParameters.minSplitGain
  • fixedParameters.modelName
  • fixedParameters.nEstimators
  • fixedParameters.numLeaves
  • fixedParameters.preprocessorName
  • fixedParameters.regAlpha
  • fixedParameters.regLambda
  • fixedParameters.subsample
  • fixedParameters.subsampleFreq
  • fixedParameters.treeMethod
  • fixedParameters.withMean
  • fixedParameters.withStd
  • forecastingSettings.targetLags.jobInputType
  • forecastingSettings.targetLags.uri
  • forecastingSettings.earlyTermination
  • forecastingSettings.earlyTermination.delayEvaluation
  • forecastingSettings.earlyTermination.evaluationInterval
  • forecastingSettings.earlyTermination.policyType
  • forecastingSettings.earlyTermination.slackAmount
  • forecastingSettings.earlyTermination.slackFactor
  • forecastingSettings.earlyTermination.truncationPercentage
  • forecastingSettings.samplingAlgorithm
  • trainingSettings.earlyStoppingDelay
  • trainingSettings.earlyStoppingPatience
  • trainingSettings.enableOnnxNormalization
  • trainingSettings.evaluationFrequency
  • trainingSettings.gradientAccumulationStep
  • trainingSettings.layersToFreeze
  • trainingSettings.learningRate
  • trainingSettings.learningRateScheduler
  • trainingSettings.modelName
  • trainingSettings.momentum
  • trainingSettings.nesterov
  • trainingSettings.numberOfEpochs
  • trainingSettings.numberOfWorkers
  • trainingSettings.optimizer
  • trainingSettings.randomSeed
  • trainingSettings.stepLRGamma
  • trainingSettings.stepLRStepSize
  • trainingSettings.trainingBatchSize
  • trainingSettings.trainingCropSize
  • trainingSettings.validationBatchSize
  • trainingSettings.validationCropSize
  • trainingSettings.validationResizeSize
  • trainingSettings.warmupCosineLRCycles
  • trainingSettings.warmupCosineLRWarmupEpochs
  • trainingSettings.weightDecay
  • trainingSettings.weightedLoss
  • limitSettings.sweepConcurrentTrials
  • limitSettings.sweepTrials
  • boostingType
  • growPolicy
  • maxBin
  • maxDepth
  • maxLeaves
  • minDataInLeaf
  • minSplitGain
  • nEstimators
  • numLeaves
  • preprocessorName
  • regAlpha
  • regLambda
  • sottosample
  • subsampleFreq
  • treeMethod
  • withMean
  • withStd
  • trainingSettings.featurizationSettings
  • trainingSettings.featurizationSettings.datasetLanguage
  • trainingSettings.fixedParameters
  • trainingSettings.fixedParameters.gradientAccumulationSteps
  • trainingSettings.fixedParameters.learningRate
  • trainingSettings.fixedParameters.learningRateScheduler
  • trainingSettings.fixedParameters.modelName
  • trainingSettings.fixedParameters.numberOfEpochs
  • trainingSettings.fixedParameters.trainingBatchSize
  • trainingSettings.fixedParameters.validationBatchSize
  • trainingSettings.fixedParameters.warmupRatio
  • trainingSettings.fixedParameters.weightDecay
  • trainingSettings.limitSettings.maxNodes
  • trainingSettings.limitSettings.trialTimeout
  • trainingSettings.searchSpace.gradientAccumulationSteps
  • trainingSettings.searchSpace.learningRate
  • trainingSettings.searchSpace.learningRateScheduler
  • trainingSettings.searchSpace.modelName
  • trainingSettings.searchSpace.numberOfEpochs
  • trainingSettings.searchSpace.trainingBatchSize
  • trainingSettings.searchSpace.validationBatchSize
  • trainingSettings.searchSpace.warmupRatio
  • trainingSettings.searchSpace.weightDecay
  • trainingSettings.sweepSettings
  • trainingSettings.sweepSettings.earlyTermination
  • trainingSettings.sweepSettings.earlyTermination.delayEvaluation
  • trainingSettings.sweepSettings.earlyTermination.evaluationInterval
  • trainingSettings.sweepSettings.earlyTermination.policyType
  • trainingSettings.sweepSettings.earlyTermination.slackAmount
  • trainingSettings.sweepSettings.earlyTermination.slackFactor
  • trainingSettings.sweepSettings.earlyTermination.truncationPercentage
  • trainingSettings.sweepSettings.samplingAlgorithm
  • trainingSettings.validationData
  • trainingSettings.validationData.description
  • trainingSettings.validationData.jobInputType
  • trainingSettings.validationData.mode
  • trainingSettings.validationData.uri
  • autologgerSettings
  • autologgerSettings.mlflowAutologger

Lontano:

  • taskDetails.trainingSettings
  • taskDetails.trainingSettings.allowedTrainingAlgorithms
  • taskDetails.trainingSettings.blockedTrainingAlgorithms
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableDnnTraining
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableModelExplainability
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableOnnxCompatibleModels
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableStackEnsemble
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableVoteEnsemble
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.ensembleModelDownloadTimeout
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerKWargs
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerType
  • taskDetails.trainingSettings.validationData
  • taskDetails.trainingSettings.validationData.description
  • taskDetails.trainingSettings.validationData.jobInputType
  • taskDetails.trainingSettings.validationData.mode
  • taskDetails.trainingSettings.validationData.uri
  • taskDetails.trainingSettings.validationDataSize
  • taskDetails.trainingSettings.weightColumnName
  • taskDetails.trainingSettings.taskType
  • taskDetails.trainingSettings.cvSplitColumnNames
  • taskDetails.trainingSettings. {proprietà personalizzata}
  • taskDetails.trainingSettings.parameters
  • forecastingSettings.useStl
  • trainingSettings.allowedTrainingAlgorithms.blockedTrainingAlgorithms
  • trainingSettings.allowedTrainingAlgorithms.description
  • trainingSettings.allowedTrainingAlgorithms.jobInputType
  • trainingSettings.allowedTrainingAlgorithms.mode
  • trainingSettings.allowedTrainingAlgorithms.uri
  • trainingSettings.validationDataSize
  • trainingSettings.weightColumnName
  • checkpointRunId
  • trainingCropSize
  • validationCropSize
  • validationResizeSize
  • weightedLoss
  • modo
  • Uri
  • Parametri
  • trainingSettings.enableDnnTraining
  • trainingSettings.enableModelExplainability
  • trainingSettings.enableOnnxCompatibleModels
  • trainingSettings.enableStackEnsemble
  • trainingSettings.enableVoteEnsemble
  • trainingSettings.ensembleModelDownloadTimeout
  • trainingSettings.stackEnsembleSettings
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerType
  • validationData
  • validationData.description
  • validationData.jobInputType
  • validationData.mode
  • validationData.uri
  • validationDataSize
  • weightColumnName
  • taskType
  • featurizationSettings
  • featurizationSettings.datasetLanguage
  • samplingAlgorithmType
  • regola
  • seme
  • prova
  • trial.codeId
  • trial.command
  • trial.distribution
  • trial.distribution.distributionType
  • trial.distribution.processCountPerInstance
  • trial.distribution.parameterServerCount
  • trial.distribution.workerCount
  • trial.environmentId
  • trial.environmentVariables
  • trial.environmentVariables. {proprietà personalizzata}
  • trial.resources
  • trial.resources.dockerArgs
  • trial.resources.instanceCount
  • trial.resources.instanceType
  • trial.resources.properties
  • trial.resources.properties. {proprietà personalizzata}
  • trial.resources.shmSize

2022-06-01-preview

Aggiunto:

  • properties.componentId
  • resources.dockerArgs
  • resources.shmSize
  • taskDetails
  • taskDetails.logVerbosity
  • taskDetails.targetColumnName
  • taskDetails.trainingData
  • taskDetails.trainingData.description
  • taskDetails.trainingData.jobInputType
  • taskDetails.trainingData.mode
  • taskDetails.trainingData.uri
  • taskDetails.taskType
  • taskDetails.cvSplitColumnNames
  • taskDetails.trainingSettings
  • taskDetails.trainingSettings.allowedTrainingAlgorithms
  • taskDetails.trainingSettings.blockedTrainingAlgorithms
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableDnnTraining
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableModelExplainability
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableOnnxCompatibleModels
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableStackEnsemble
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.enableVoteEnsemble
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.ensembleModelDownloadTimeout
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerKWargs
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • taskDetails.trainingSettings.blockedTrainingAlgorithms.stackEnsembleSettings.stackMetaLearnerType
  • taskDetails.trainingSettings.validationData
  • taskDetails.trainingSettings.validationData.description
  • taskDetails.trainingSettings.validationData.jobInputType
  • taskDetails.trainingSettings.validationData.mode
  • taskDetails.trainingSettings.validationData.uri
  • taskDetails.trainingSettings.validationDataSize
  • taskDetails.trainingSettings.weightColumnName
  • taskDetails.trainingSettings.taskType
  • taskDetails.trainingSettings.cvSplitColumnNames
  • taskDetails.trainingSettings. {proprietà personalizzata}
  • taskDetails.trainingSettings.parameters
  • forecastingSettings
  • forecastingSettings.countryOrRegionForHolidays
  • forecastingSettings.cvStepSize
  • forecastingSettings.featureLags
  • forecastingSettings.forecastHorizon
  • forecastingSettings.forecastHorizon.mode
  • forecastingSettings.forecastHorizon.value
  • forecastingSettings.frequency
  • forecastingSettings.seasonality
  • forecastingSettings.seasonality.mode
  • forecastingSettings.seasonality.value
  • forecastingSettings.shortSeriesHandlingConfig
  • forecastingSettings.targetAggregateFunction
  • forecastingSettings.targetLags
  • forecastingSettings.targetLags.mode
  • forecastingSettings.targetLags.values
  • forecastingSettings.targetLags.value
  • forecastingSettings.targetRollingWindowSize
  • forecastingSettings.targetRollingWindowSize.mode
  • forecastingSettings.targetRollingWindowSize.value
  • forecastingSettings.timeColumnName
  • forecastingSettings.timeSeriesIdColumnNames
  • forecastingSettings.useStl
  • limitSettings
  • limitSettings.enableEarlyTermination
  • limitSettings.exitScore
  • limitSettings.maxConcurrentTrials
  • limitSettings.maxCoresPerTrial
  • limitSettings.maxTrials
  • limitSettings.timeout
  • limitSettings.trialTimeout
  • nCrossValidations
  • nCrossValidations.mode
  • nCrossValidations.value
  • primaryMetric
  • testData
  • testData.description
  • testData.jobInputType
  • testData.mode
  • testData.uri
  • testDataSize
  • trainingSettings
  • trainingSettings.allowedTrainingAlgorithms
  • trainingSettings.allowedTrainingAlgorithms.blockedTrainingAlgorithms
  • trainingSettings.allowedTrainingAlgorithms.description
  • trainingSettings.allowedTrainingAlgorithms.jobInputType
  • trainingSettings.allowedTrainingAlgorithms.mode
  • trainingSettings.allowedTrainingAlgorithms.uri
  • trainingSettings.validationDataSize
  • trainingSettings.weightColumnName
  • trainingSettings.taskType
  • trainingSettings.limitSettings
  • trainingSettings.limitSettings.maxConcurrentTrials
  • trainingSettings.limitSettings.maxTrials
  • trainingSettings.limitSettings.timeout
  • trainingSettings.modelSettings
  • trainingSettings.modelSettings.advancedSettings
  • trainingSettings.modelSettings.amsGradient
  • trainingSettings.modelSettings.augmentations
  • trainingSettings.modelSettings.beta1
  • trainingSettings.modelSettings.beta2
  • trainingSettings.modelSettings.checkpointFrequency
  • trainingSettings.modelSettings.checkpointModel
  • trainingSettings.modelSettings.checkpointModel.description
  • trainingSettings.modelSettings.checkpointModel.jobInputType
  • trainingSettings.modelSettings.checkpointModel.mode
  • trainingSettings.modelSettings.checkpointModel.uri
  • trainingSettings.modelSettings.checkpointRunId
  • trainingSettings.modelSettings.distributed
  • trainingSettings.modelSettings.earlyStopping
  • trainingSettings.modelSettings.earlyStoppingDelay
  • trainingSettings.modelSettings.earlyStoppingPatience
  • trainingSettings.modelSettings.enableOnnxNormalization
  • trainingSettings.modelSettings.evaluationFrequency
  • trainingSettings.modelSettings.gradientAccumulationStep
  • trainingSettings.modelSettings.layersToFreeze
  • trainingSettings.modelSettings.learningRate
  • trainingSettings.modelSettings.learningRateScheduler
  • trainingSettings.modelSettings.modelName
  • trainingSettings.modelSettings.momentum
  • trainingSettings.modelSettings.nesterov
  • trainingSettings.modelSettings.numberOfEpochs
  • trainingSettings.modelSettings.numberOfWorkers
  • trainingSettings.modelSettings.optimizer
  • trainingSettings.modelSettings.randomSeed
  • trainingSettings.modelSettings.stepLRGamma
  • trainingSettings.modelSettings.stepLRStepSize
  • trainingSettings.modelSettings.trainingBatchSize
  • trainingSettings.modelSettings.trainingCropSize
  • trainingSettings.modelSettings.validationBatchSize
  • trainingSettings.modelSettings.validationCropSize
  • trainingSettings.modelSettings.validationResizeSize
  • trainingSettings.modelSettings.warmupCosineLRCycles
  • trainingSettings.modelSettings.warmupCosineLRWarmupEpochs
  • trainingSettings.modelSettings.weightDecay
  • trainingSettings.modelSettings.weightedLoss
  • trainingSettings.primaryMetric
  • trainingSettings.searchSpace
  • checkpointRunId
  • distribuito
  • earlyStopping
  • earlyStoppingDelay
  • earlyStoppingPatience
  • enableOnnxNormalization
  • evaluationFrequency
  • gradientAccumulationStep
  • layersToFreeze
  • learningRate
  • learningRateScheduler
  • modelName
  • slancio
  • nesterov
  • numberOfEpochs
  • numberOfWorkers
  • ottimizzatore
  • randomSeed
  • stepLRGamma
  • stepLRStepSize
  • trainingBatchSize
  • trainingCropSize
  • validationBatchSize
  • validationCropSize
  • validationResizeSize
  • warmupCosineLRCycles
  • warmupCosineLRWarmupEpochs
  • weightDecay
  • weightedLoss
  • modo
  • Uri
  • imageSize
  • maxSize
  • minSize
  • modelSize
  • multiScale
  • nmsIouThreshold
  • tileGridSize
  • tileOverlapRatio
  • tilePredictionsNmsThreshold
  • validationIouThreshold
  • validationMetricType
  • Parametri
  • trainingSettings.enableDnnTraining
  • trainingSettings.enableModelExplainability
  • trainingSettings.enableOnnxCompatibleModels
  • trainingSettings.enableStackEnsemble
  • trainingSettings.enableVoteEnsemble
  • trainingSettings.ensembleModelDownloadTimeout
  • trainingSettings.stackEnsembleSettings
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerType
  • validationData
  • validationData.description
  • validationData.jobInputType
  • validationData.mode
  • validationData.uri
  • validationDataSize
  • weightColumnName
  • taskType
  • featurizationSettings
  • featurizationSettings.datasetLanguage
  • dataConfiguration
  • dataConfiguration.dataId
  • dataConfiguration.incrementalDataRefreshEnabled
  • jobInstructions
  • jobInstructions.uri
  • labelCategories
  • labelCategories. {proprietà personalizzata}
  • labelCategories.classes
  • labelCategories.classes. {proprietà personalizzata}
  • labelCategories.classes.displayName
  • labelCategories.classes.subclasses
  • labelCategories.classes.subclasses. {proprietà personalizzata}
  • labelCategories.displayName
  • labelCategories.multiSelectEnabled
  • labelingJobMediaProperties
  • labelingJobMediaProperties.mediaType
  • labelingJobMediaProperties.annotationType
  • mlAssistConfiguration
  • mlAssistConfiguration.mlAssist
  • mlAssistConfiguration.inferencingComputeBinding
  • mlAssistConfiguration.trainingComputeBinding
  • sourceJobId
  • archivio
  • samplingAlgorithmType
  • regola
  • seme
  • trial.resources.dockerArgs
  • trial.resources.shmSize

Lontano:

  • earlyTermination
  • earlyTermination.delayEvaluation
  • earlyTermination.evaluationInterval
  • earlyTermination.policyType
  • earlyTermination.slackAmount
  • earlyTermination.slackFactor
  • earlyTermination.truncationPercentage
  • limits.maxConcurrentTrials
  • limits.maxTotalTrials
  • limits.trialTimeout
  • obiettivo
  • objective.goal
  • objective.primaryMetric
  • campionamentoAlgorithm
  • samplingAlgorithm.samplingAlgorithmType
  • samplingAlgorithm.rule
  • samplingAlgorithm.seed

Aggiornato:

  • properties.services. {customd property}.properties.jobType - Aggiunta di valori: 'AutoML' (obbligatorio) - Valori rimossi: 'Command' (obbligatorio)
  • properties.services. {customd property}.properties.environmentId modificato in non obbligatorio.
  • properties.services. {customd property}.properties.outputs. {customd property}.mode - Aggiunta di valori: 'Direct'

2022-05-01

Lontano:

  • properties.schedule
  • properties.schedule.endTime
  • properties.schedule.scheduleStatus
  • properties.schedule.startTime
  • properties.schedule.timeZone
  • properties.schedule.scheduleType
  • properties.schedule.expression
  • properties.schedule.frequency
  • properties.schedule.interval
  • properties.schedule.pattern
  • properties.schedule.pattern.hours
  • properties.schedule.pattern.allowedModels
  • properties.schedule.pattern.blockedModels
  • properties.schedule.pattern.dataSettings
  • properties.schedule.pattern.dataSettings.targetColumnName
  • properties.schedule.pattern.dataSettings.testData
  • properties.schedule.pattern.dataSettings.testData.data
  • properties.schedule.pattern.dataSettings.testData.data.description
  • properties.schedule.pattern.dataSettings.testData.data.jobInputType
  • properties.schedule.pattern.dataSettings.testData.data.mode
  • properties.schedule.pattern.dataSettings.testData.data.uri
  • properties.schedule.pattern.dataSettings.testData.testDataSize
  • properties.schedule.pattern.dataSettings.trainingData
  • properties.schedule.pattern.dataSettings.trainingData.data
  • properties.schedule.pattern.dataSettings.trainingData.data.description
  • properties.schedule.pattern.dataSettings.trainingData.data.jobInputType
  • properties.schedule.pattern.dataSettings.trainingData.data.mode
  • properties.schedule.pattern.dataSettings.trainingData.data.uri
  • properties.schedule.pattern.dataSettings.validationData
  • properties.schedule.pattern.dataSettings.validationData.cvSplitColumnNames
  • properties.schedule.pattern.dataSettings.validationData.maxTrials
  • properties.schedule.pattern.dataSettings.validationData.timeout
  • properties.schedule.pattern.dataSettings.validationData.trialTimeout
  • properties.schedule.pattern.dataSettings.primaryMetric
  • properties.schedule.pattern.dataSettings.trainingSettings
  • properties.schedule.pattern.dataSettings.trainingSettings.enableDnnTraining
  • properties.schedule.pattern.dataSettings.trainingSettings.enableModelExplainability
  • properties.schedule.pattern.dataSettings.trainingSettings.enableOnnxCompatibleModels
  • properties.schedule.pattern.dataSettings.trainingSettings.enableStackEnsemble
  • properties.schedule.pattern.dataSettings.trainingSettings.enableVoteEnsemble
  • properties.schedule.pattern.dataSettings.trainingSettings.ensembleModelDownloadTimeout
  • properties.schedule.pattern.dataSettings.trainingSettings.stackEnsembleSettings
  • properties.schedule.pattern.dataSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
  • properties.schedule.pattern.dataSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • properties.schedule.pattern.dataSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerType
  • properties.schedule.pattern.dataSettings.taskType
  • properties.schedule.pattern.dataSettings.allowedModels
  • properties.schedule.pattern.dataSettings.blockedModels
  • properties.schedule.pattern.dataSettings.jobInputType
  • properties.schedule.pattern.dataSettings.mode
  • properties.schedule.pattern.dataSettings.uri
  • properties.schedule.validationData
  • properties.schedule.validationData.cvSplitColumnNames
  • properties.schedule.validationData.nCrossValidations
  • properties.schedule.validationData.nCrossValidations.mode
  • properties.schedule.validationData.nCrossValidations.value
  • properties.schedule.validationData.validationDataSize
  • properties.schedule.weightColumnName
  • properties.featurizationSettings
  • properties.featurizationSettings.blockedTransformers
  • properties.featurizationSettings.mode
  • properties.featurizationSettings.value
  • properties.frequency
  • properties.stagionalità
  • properties.seasonality.mode
  • properties.seasonality.value
  • properties.shortSeriesHandlingConfig
  • properties.targetAggregateFunction
  • properties.targetLags
  • properties.targetLags.mode
  • properties.targetLags.values
  • properties.targetLags.value
  • properties.targetRollingWindowSize
  • properties.targetRollingWindowSize.mode
  • properties.targetRollingWindowSize.value
  • properties.timeColumnName
  • properties.timeSeriesIdColumnNames
  • properties.exitScore
  • properties.maxConcurrentTrials
  • properties.maxCoresPerTrial
  • properties.maxTrials
  • properties.timeout
  • properties.trialTimeout
  • primaryMetric
  • trainingSettings
  • trainingSettings.enableDnnTraining
  • trainingSettings.enableModelExplainability
  • trainingSettings.enableOnnxCompatibleModels
  • trainingSettings.enableStackEnsemble
  • trainingSettings.enableVoteEnsemble
  • trainingSettings.ensembleModelDownloadTimeout
  • trainingSettings.stackEnsembleSettings
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerType
  • taskType
  • dataSettings
  • dataSettings.targetColumnName
  • dataSettings.testData
  • dataSettings.testData.data
  • dataSettings.testData.data.description
  • dataSettings.testData.data.jobInputType
  • dataSettings.testData.data.mode
  • dataSettings.testData.data.uri
  • dataSettings.testData.testDataSize
  • dataSettings.trainingData
  • dataSettings.trainingData.data
  • dataSettings.trainingData.data.description
  • dataSettings.trainingData.data.jobInputType
  • dataSettings.trainingData.data.mode
  • dataSettings.trainingData.data.uri
  • dataSettings.validationData
  • dataSettings.validationData.data
  • dataSettings.validationData.data.description
  • dataSettings.validationData.data.jobInputType
  • dataSettings.validationData.data.mode
  • dataSettings.validationData.data.uri
  • dataSettings.validationData.validationDataSize
  • limitSettings
  • limitSettings.maxConcurrentTrials
  • limitSettings.maxTrials
  • limitSettings.timeout
  • modelSettings
  • modelSettings.advancedSettings
  • modelSettings.amsGradient
  • modelSettings.augmentations
  • modelSettings.beta1
  • modelSettings.beta2
  • modelSettings.checkpointDatasetId
  • modelSettings.checkpointFilename
  • modelSettings.checkpointFrequency
  • modelSettings.checkpointRunId
  • modelSettings.distributed
  • modelSettings.earlyStopping
  • modelSettings.earlyStoppingDelay
  • modelSettings.earlyStoppingPatience
  • modelSettings.enableOnnxNormalization
  • modelSettings.evaluationFrequency
  • modelSettings.gradientAccumulationStep
  • modelSettings.layersToFreeze
  • modelSettings.learningRate
  • modelSettings.learningRateScheduler
  • modelSettings.modelName
  • modelSettings.momentum
  • modelSettings.nesterov
  • modelSettings.numberOfEpochs
  • modelSettings.numberOfWorkers
  • modelSettings.optimizer
  • modelSettings.randomSeed
  • modelSettings.splitRatio
  • modelSettings.stepLRGamma
  • modelSettings.stepLRStepSize
  • modelSettings.trainingBatchSize
  • modelSettings.trainingCropSize
  • modelSettings.validationBatchSize
  • modelSettings.validationCropSize
  • modelSettings.validationResizeSize
  • modelSettings.warmupCosineLRCycles
  • modelSettings.warmupCosineLRWarmupEpochs
  • modelSettings.weightDecay
  • modelSettings.weightedLoss
  • gradientAccumulationStep
  • layersToFreeze
  • learningRate
  • learningRateScheduler
  • modelName
  • slancio
  • nesterov
  • numberOfEpochs
  • numberOfWorkers
  • ottimizzatore
  • randomSeed
  • splitRatio
  • stepLRGamma
  • stepLRStepSize
  • trainingBatchSize
  • trainingCropSize
  • validationBatchSize
  • validationCropSize
  • validationResizeSize
  • warmupCosineLRCycles
  • warmupCosineLRWarmupEpochs
  • weightDecay
  • weightedLoss
  • enableOnnxNormalization
  • evaluationFrequency
  • imageSize
  • maxSize
  • minSize
  • modelSize
  • multiScale
  • nmsIouThreshold
  • tileGridSize
  • tileOverlapRatio
  • tilePredictionsNmsThreshold
  • validationIouThreshold
  • validationMetricType
  • datasetLanguage
  • dropColumns
  • maxTrials
  • Timeout
  • trialTimeout
  • featurizationSettings
  • featurizationSettings.datasetLanguage
  • taskDetails
  • taskDetails.logVerbosity
  • taskDetails.taskType
  • taskDetails.allowedModels
  • taskDetails.mode
  • taskDetails.value
  • validationDataSize
  • weightColumnName
  • featurizationSettings.blockedTransformers
  • limitSettings.enableEarlyTermination
  • limitSettings.exitScore
  • limitSettings.maxCoresPerTrial
  • limitSettings.trialTimeout
  • allowedModels
  • blockedModels
  • modo
  • valore
  • forecastingSettings
  • forecastingSettings.countryOrRegionForHolidays
  • forecastingSettings.cvStepSize
  • forecastingSettings.featureLags
  • forecastingSettings.forecastHorizon
  • forecastingSettings.forecastHorizon.mode
  • forecastingSettings.forecastHorizon.value
  • forecastingSettings.frequency
  • forecastingSettings.seasonality
  • forecastingSettings.seasonality.mode
  • forecastingSettings.seasonality.value
  • forecastingSettings.shortSeriesHandlingConfig
  • forecastingSettings.targetAggregateFunction
  • forecastingSettings.targetLags
  • forecastingSettings.targetLags.mode
  • forecastingSettings.targetLags.values
  • forecastingSettings.targetLags.distributionType
  • forecastingSettings.targetLags.processCountPerInstance
  • forecastingSettings.targetLags.parameterServerCount
  • forecastingSettings.targetLags.workerCount
  • forecastingSettings.targetRollingWindowSize
  • forecastingSettings.targetRollingWindowSize.mode
  • forecastingSettings.targetRollingWindowSize.value
  • forecastingSettings.timeColumnName
  • forecastingSettings.timeSeriesIdColumnNames
  • forecastingSettings.timeSeriesIdColumnNames.useStl
  • forecastingSettings.limitSettings
  • forecastingSettings.limitSettings.enableEarlyTermination
  • forecastingSettings.limitSettings.exitScore
  • forecastingSettings.limitSettings.maxConcurrentTrials
  • forecastingSettings.limitSettings.maxCoresPerTrial
  • forecastingSettings.limitSettings.maxTrials
  • forecastingSettings.limitSettings.timeout
  • forecastingSettings.limitSettings.trialTimeout
  • forecastingSettings.primaryMetric
  • forecastingSettings.trainingSettings
  • forecastingSettings.trainingSettings.enableDnnTraining
  • forecastingSettings.trainingSettings.enableModelExplainability
  • forecastingSettings.trainingSettings.enableOnnxCompatibleModels
  • forecastingSettings.trainingSettings.enableStackEnsemble
  • forecastingSettings.trainingSettings.enableVoteEnsemble
  • forecastingSettings.trainingSettings.ensembleModelDownloadTimeout
  • forecastingSettings.trainingSettings.stackEnsembleSettings
  • forecastingSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
  • forecastingSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • forecastingSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerType
  • forecastingSettings.taskType
  • forecastingSettings.dataSettings
  • forecastingSettings.dataSettings.targetColumnName
  • forecastingSettings.dataSettings.testData
  • forecastingSettings.dataSettings.testData.data
  • forecastingSettings.dataSettings.testData.data.description
  • forecastingSettings.dataSettings.testData.data.jobInputType
  • forecastingSettings.dataSettings.testData.data.mode
  • forecastingSettings.dataSettings.testData.data.uri
  • forecastingSettings.dataSettings.testData.testDataSize
  • forecastingSettings.dataSettings.trainingData
  • forecastingSettings.dataSettings.trainingData.data
  • forecastingSettings.dataSettings.trainingData.data.description
  • forecastingSettings.dataSettings.trainingData.data.jobInputType
  • forecastingSettings.dataSettings.trainingData.data.mode
  • forecastingSettings.dataSettings.trainingData.data.uri
  • forecastingSettings.dataSettings.validationData
  • forecastingSettings.dataSettings.validationData.data
  • forecastingSettings.dataSettings.validationData.data.description
  • forecastingSettings.dataSettings.validationData.data.jobInputType
  • forecastingSettings.dataSettings.validationData.data.mode
  • forecastingSettings.dataSettings.validationData.data.uri
  • forecastingSettings.dataSettings.validationData.validationDataSize
  • forecastingSettings.modelSettings
  • forecastingSettings.modelSettings.advancedSettings
  • forecastingSettings.modelSettings.amsGradient
  • forecastingSettings.modelSettings.augmentations
  • forecastingSettings.modelSettings.beta1
  • forecastingSettings.modelSettings.beta2
  • forecastingSettings.modelSettings.checkpointDatasetId
  • forecastingSettings.modelSettings.checkpointFilename
  • forecastingSettings.modelSettings.checkpointFrequency
  • forecastingSettings.modelSettings.checkpointRunId
  • forecastingSettings.modelSettings.distributed
  • forecastingSettings.modelSettings.earlyStopping
  • forecastingSettings.modelSettings.earlyStoppingDelay
  • forecastingSettings.modelSettings.earlyStoppingPatience
  • forecastingSettings.modelSettings.enableOnnxNormalization
  • forecastingSettings.modelSettings.evaluationFrequency
  • forecastingSettings.modelSettings.gradientAccumulationStep
  • forecastingSettings.modelSettings.layersToFreeze
  • forecastingSettings.modelSettings.learningRate
  • forecastingSettings.modelSettings.learningRateScheduler
  • forecastingSettings.modelSettings.modelName
  • forecastingSettings.modelSettings.momentum
  • forecastingSettings.modelSettings.nesterov
  • forecastingSettings.modelSettings.numberOfEpochs
  • forecastingSettings.modelSettings.numberOfWorkers
  • forecastingSettings.modelSettings.optimizer
  • forecastingSettings.modelSettings.randomSeed
  • forecastingSettings.modelSettings.splitRatio
  • forecastingSettings.modelSettings.stepLRGamma
  • forecastingSettings.modelSettings.stepLRStepSize
  • forecastingSettings.modelSettings.trainingBatchSize
  • forecastingSettings.modelSettings.trainingCropSize
  • forecastingSettings.modelSettings.validationBatchSize
  • forecastingSettings.modelSettings.validationCropSize
  • forecastingSettings.modelSettings.validationResizeSize
  • forecastingSettings.modelSettings.warmupCosineLRCycles
  • forecastingSettings.modelSettings.warmupCosineLRWarmupEpochs
  • forecastingSettings.modelSettings.weightDecay
  • forecastingSettings.modelSettings.weightedLoss
  • forecastingSettings.searchSpace
  • forecastingSettings.mode
  • forecastingSettings.uri
  • validationData
  • validationData.data
  • validationData.data.description
  • validationData.data.jobInputType
  • validationData.data.mode
  • validationData.data.uri
  • validationData.validationDataSize
  • Uri
  • modelSettings.boxDetectionsPerImage
  • modelSettings.boxScoreThreshold
  • modelSettings.imageSize
  • modelSettings.maxSize
  • modelSettings.minSize
  • modelSettings.modelSize
  • modelSettings.multiScale
  • modelSettings.nmsIouThreshold
  • modelSettings.tileGridSize
  • modelSettings.tileOverlapRatio
  • modelSettings.tilePredictionsNmsThreshold
  • modelSettings.validationIouThreshold
  • modelSettings.validationMetricType
  • testDataSize
  • trainingData
  • trainingData.data
  • trainingData.data.description
  • trainingData.data.jobInputType
  • trainingData.data.mode
  • trainingData.data.uri
  • validationData.cvSplitColumnNames
  • validationData.mode
  • validationData.value

Aggiornato:

  • properties.services. {customd property}.properties.jobType - Aggiunta di valori: 'Command' (obbligatorio) - Valori rimossi: 'AutoML' (obbligatorio)
  • properties.services. {customd property}.properties.environmentId modificato in obbligatorio.
  • properties.services. {customd property}.properties.outputs. {customized property}.jobOutputType - Aggiunta di valori: 'custom_model' (obbligatorio) 'mlflow_model' (obbligatorio) 'mltable' (obbligatorio) 'triton_model' (obbligatorio) 'uri_file' (obbligatorio) 'uri_file' 'uri_folder uri_file' (obbligatorio) 'triton_model'' (obbligatorio) - Valori rimossi: 'CustomModel' (obbligatorio) 'MLFlowModel' (obbligatorio) 'MLTable' (obbligatorio) 'LanguageModel' (obbligatorio) 'UriFile' (obbligatorio) 'UriFolder' (obbligatorio)

Anteprima 2022-02-01

Aggiunto:

  • properties.computeId
  • properties.displayName
  • properties.isArchived
  • proprietà .schedule
  • proprietà.schedule.endTime
  • proprietà.schedule.scheduleStatus
  • properties.schedule.startTime
  • proprietà.schedule.timeZone
  • proprietà.schedule.scheduleType
  • proprietà.schedule.expression
  • proprietà.schedule.frequency
  • proprietà.schedule.interval
  • proprietà.schedule.pattern
  • proprietà.schedule.pattern.hours
  • properties.schedule.pattern.allowedModels
  • properties.schedule.pattern.blockedModels
  • properties.schedule.pattern.dataSettings
  • properties.schedule.pattern.dataSettings.targetColumnName
  • properties.schedule.pattern.dataSettings.testData
  • properties.schedule.pattern.dataSettings.testData.data
  • properties.schedule.pattern.dataSettings.testData.data.description
  • properties.schedule.pattern.dataSettings.testData.data.jobInputType
  • properties.schedule.pattern.dataSettings.testData.data.mode
  • properties.schedule.pattern.dataSettings.testData.data.uri
  • properties.schedule.pattern.dataSettings.testData.testDataSize
  • properties.schedule.pattern.dataSettings.trainingData
  • properties.schedule.pattern.dataSettings.trainingData.data
  • properties.schedule.pattern.dataSettings.trainingData.data.description
  • properties.schedule.pattern.dataSettings.trainingData.data.jobInputType
  • properties.schedule.pattern.dataSettings.trainingData.data.mode
  • properties.schedule.pattern.dataSettings.trainingData.data.uri
  • properties.schedule.pattern.dataSettings.validationData
  • properties.schedule.pattern.dataSettings.validationData.cvSplitColumnNames
  • properties.schedule.pattern.dataSettings.validationData.maxTrials
  • properties.schedule.pattern.dataSettings.validationData.timeout
  • properties.schedule.pattern.dataSettings.validationData.trialTimeout
  • properties.schedule.pattern.dataSettings.primaryMetric
  • properties.schedule.pattern.dataSettings.trainingSettings
  • properties.schedule.pattern.dataSettings.trainingSettings.enableDnnTraining
  • properties.schedule.pattern.dataSettings.trainingSettings.enableModelExplainability
  • properties.schedule.pattern.dataSettings.trainingSettings.enableOnnxCompatibleModels
  • properties.schedule.pattern.dataSettings.trainingSettings.enableStackEnsemble
  • properties.schedule.pattern.dataSettings.trainingSettings.enableVoteEnsemble
  • properties.schedule.pattern.dataSettings.trainingSettings.ensembleModelDownloadTimeout
  • properties.schedule.pattern.dataSettings.trainingSettings.stackEnsembleSettings
  • properties.schedule.pattern.dataSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
  • properties.schedule.pattern.dataSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • properties.schedule.pattern.dataSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerType
  • properties.schedule.pattern.dataSettings.taskType
  • properties.schedule.pattern.dataSettings.allowedModels
  • properties.schedule.pattern.dataSettings.blockedModels
  • properties.schedule.pattern.dataSettings.jobInputType
  • properties.schedule.pattern.dataSettings.mode
  • properties.schedule.pattern.dataSettings.uri
  • properties.schedule.validationData
  • properties.schedule.validationData.cvSplitColumnNames
  • properties.schedule.validationData.nCrossValidations
  • properties.schedule.validationData.nCrossValidations.mode
  • properties.schedule.validationData.nCrossValidations.value
  • properties.schedule.validationData.validationDataSize
  • properties.schedule.weightColumnName
  • properties.featurizationSettings
  • properties.featurizationSettings.blockedTransformers
  • properties.featurizationSettings.mode
  • properties.featurizationSettings.value
  • properties.frequency
  • properties.stagionalità
  • properties.seasonality.mode
  • properties.seasonality.value
  • properties.shortSeriesHandlingConfig
  • properties.targetAggregateFunction
  • properties.targetLags
  • properties.targetLags.mode
  • properties.targetLags.values
  • properties.targetLags.value
  • properties.targetRollingWindowSize
  • properties.targetRollingWindowSize.mode
  • properties.targetRollingWindowSize.value
  • properties.timeColumnName
  • properties.timeSeriesIdColumnNames
  • properties.exitScore
  • properties.maxConcurrentTrials
  • properties.maxCoresPerTrial
  • properties.maxTrials
  • properties.timeout
  • properties.trialTimeout
  • primaryMetric
  • trainingSettings
  • trainingSettings.enableDnnTraining
  • trainingSettings.enableModelExplainability
  • trainingSettings.enableOnnxCompatibleModels
  • trainingSettings.enableStackEnsemble
  • trainingSettings.enableVoteEnsemble
  • trainingSettings.ensembleModelDownloadTimeout
  • trainingSettings.stackEnsembleSettings
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • trainingSettings.stackEnsembleSettings.stackMetaLearnerType
  • taskType
  • dataSettings
  • dataSettings.targetColumnName
  • dataSettings.testData
  • dataSettings.testData.data
  • dataSettings.testData.data.description
  • dataSettings.testData.data.jobInputType
  • dataSettings.testData.data.mode
  • dataSettings.testData.data.uri
  • dataSettings.testData.testDataSize
  • dataSettings.trainingData
  • dataSettings.trainingData.data
  • dataSettings.trainingData.data.description
  • dataSettings.trainingData.data.jobInputType
  • dataSettings.trainingData.data.mode
  • dataSettings.trainingData.data.uri
  • dataSettings.validationData
  • dataSettings.validationData.data
  • dataSettings.validationData.data.description
  • dataSettings.validationData.data.jobInputType
  • dataSettings.validationData.data.mode
  • dataSettings.validationData.data.uri
  • dataSettings.validationData.validationDataSize
  • limitSettings
  • limitSettings.maxConcurrentTrials
  • limitSettings.maxTrials
  • limitSettings.timeout
  • modelSettings
  • modelSettings.advancedSettings
  • modelSettings.amsGradient
  • modelSettings.augmentations
  • modelSettings.beta1
  • modelSettings.beta2
  • modelSettings.checkpointDatasetId
  • modelSettings.checkpointFilename
  • modelSettings.checkpointFrequency
  • modelSettings.checkpointRunId
  • modelSettings.distributed
  • modelSettings.earlyStopping
  • modelSettings.earlyStoppingDelay
  • modelSettings.earlyStoppingPatience
  • modelSettings.enableOnnxNormalization
  • modelSettings.evaluationFrequency
  • modelSettings.gradientAccumulationStep
  • modelSettings.layersToFreeze
  • modelSettings.learningRate
  • modelSettings.learningRateScheduler
  • modelSettings.modelName
  • modelSettings.momentum
  • modelSettings.nesterov
  • modelSettings.numberOfEpochs
  • modelSettings.numberOfWorkers
  • modelSettings.optimizer
  • modelSettings.randomSeed
  • modelSettings.splitRatio
  • modelSettings.stepLRGamma
  • modelSettings.stepLRStepSize
  • modelSettings.trainingBatchSize
  • modelSettings.trainingCropSize
  • modelSettings.validationBatchSize
  • modelSettings.validationCropSize
  • modelSettings.validationResizeSize
  • modelSettings.warmupCosineLRCycles
  • modelSettings.warmupCosineLRWarmupEpochs
  • modelSettings.weightDecay
  • modelSettings.weightedLoss
  • gradientAccumulationStep
  • layersToFreeze
  • learningRate
  • learningRateScheduler
  • modelName
  • slancio
  • nesterov
  • numberOfEpochs
  • numberOfWorkers
  • ottimizzatore
  • randomSeed
  • splitRatio
  • stepLRGamma
  • stepLRStepSize
  • trainingBatchSize
  • trainingCropSize
  • validationBatchSize
  • validationCropSize
  • validationResizeSize
  • warmupCosineLRCycles
  • warmupCosineLRWarmupEpochs
  • weightDecay
  • weightedLoss
  • enableOnnxNormalization
  • evaluationFrequency
  • imageSize
  • maxSize
  • minSize
  • modelSize
  • multiScale
  • nmsIouThreshold
  • tileGridSize
  • tileOverlapRatio
  • tilePredictionsNmsThreshold
  • validationIouThreshold
  • validationMetricType
  • datasetLanguage
  • dropColumns
  • maxTrials
  • trialTimeout
  • featurizationSettings
  • featurizationSettings.datasetLanguage
  • proprietà.services
  • proprietà.services. {customd property}
  • properties.services.endpoint
  • properties.services.jobServiceType
  • properties.services.port
  • properties.services.properties
  • properties.services.properties. {proprietà personalizzata}
  • Tag
  • environmentId
  • environmentVariables
  • environmentVariables. {proprietà personalizzata}
  • Uscite
  • Uscite. {proprietà personalizzata}
  • outputs.description
  • outputs.jobOutputType
  • outputs.mode
  • outputs.uri
  • risorse
  • resources.instanceCount
  • resources.instanceType
  • resources.properties
  • resources.properties. {proprietà personalizzata}
  • taskDetails
  • taskDetails.logVerbosity
  • taskDetails.taskType
  • taskDetails.allowedModels
  • taskDetails.mode
  • taskDetails.value
  • validationDataSize
  • weightColumnName
  • featurizationSettings.blockedTransformers
  • limitSettings.enableEarlyTermination
  • limitSettings.exitScore
  • limitSettings.maxCoresPerTrial
  • limitSettings.trialTimeout
  • allowedModels
  • blockedModels
  • modo
  • valore
  • forecastingSettings
  • forecastingSettings.countryOrRegionForHolidays
  • forecastingSettings.cvStepSize
  • forecastingSettings.featureLags
  • forecastingSettings.forecastHorizon
  • forecastingSettings.forecastHorizon.mode
  • forecastingSettings.forecastHorizon.value
  • forecastingSettings.frequency
  • forecastingSettings.seasonality
  • forecastingSettings.seasonality.mode
  • forecastingSettings.seasonality.value
  • forecastingSettings.shortSeriesHandlingConfig
  • forecastingSettings.targetAggregateFunction
  • forecastingSettings.targetLags
  • forecastingSettings.targetLags.mode
  • forecastingSettings.targetLags.values
  • forecastingSettings.targetLags.distributionType
  • forecastingSettings.targetLags.processCountPerInstance
  • forecastingSettings.targetLags.parameterServerCount
  • forecastingSettings.targetLags.workerCount
  • forecastingSettings.targetRollingWindowSize
  • forecastingSettings.targetRollingWindowSize.mode
  • forecastingSettings.targetRollingWindowSize.value
  • forecastingSettings.timeColumnName
  • forecastingSettings.timeSeriesIdColumnNames
  • forecastingSettings.timeSeriesIdColumnNames.useStl
  • forecastingSettings.limitSettings
  • forecastingSettings.limitSettings.enableEarlyTermination
  • forecastingSettings.limitSettings.exitScore
  • forecastingSettings.limitSettings.maxConcurrentTrials
  • forecastingSettings.limitSettings.maxCoresPerTrial
  • forecastingSettings.limitSettings.maxTrials
  • forecastingSettings.limitSettings.timeout
  • forecastingSettings.limitSettings.trialTimeout
  • forecastingSettings.primaryMetric
  • forecastingSettings.trainingSettings
  • forecastingSettings.trainingSettings.enableDnnTraining
  • forecastingSettings.trainingSettings.enableModelExplainability
  • forecastingSettings.trainingSettings.enableOnnxCompatibleModels
  • forecastingSettings.trainingSettings.enableStackEnsemble
  • forecastingSettings.trainingSettings.enableVoteEnsemble
  • forecastingSettings.trainingSettings.ensembleModelDownloadTimeout
  • forecastingSettings.trainingSettings.stackEnsembleSettings
  • forecastingSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerKWargs
  • forecastingSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerTrainPercentage
  • forecastingSettings.trainingSettings.stackEnsembleSettings.stackMetaLearnerType
  • forecastingSettings.taskType
  • forecastingSettings.dataSettings
  • forecastingSettings.dataSettings.targetColumnName
  • forecastingSettings.dataSettings.testData
  • forecastingSettings.dataSettings.testData.data
  • forecastingSettings.dataSettings.testData.data.description
  • forecastingSettings.dataSettings.testData.data.jobInputType
  • forecastingSettings.dataSettings.testData.data.mode
  • forecastingSettings.dataSettings.testData.data.uri
  • forecastingSettings.dataSettings.testData.testDataSize
  • forecastingSettings.dataSettings.trainingData
  • forecastingSettings.dataSettings.trainingData.data
  • forecastingSettings.dataSettings.trainingData.data.description
  • forecastingSettings.dataSettings.trainingData.data.jobInputType
  • forecastingSettings.dataSettings.trainingData.data.mode
  • forecastingSettings.dataSettings.trainingData.data.uri
  • forecastingSettings.dataSettings.validationData
  • forecastingSettings.dataSettings.validationData.data
  • forecastingSettings.dataSettings.validationData.data.description
  • forecastingSettings.dataSettings.validationData.data.jobInputType
  • forecastingSettings.dataSettings.validationData.data.mode
  • forecastingSettings.dataSettings.validationData.data.uri
  • forecastingSettings.dataSettings.validationData.validationDataSize
  • forecastingSettings.modelSettings
  • forecastingSettings.modelSettings.advancedSettings
  • forecastingSettings.modelSettings.amsGradient
  • forecastingSettings.modelSettings.augmentations
  • forecastingSettings.modelSettings.beta1
  • forecastingSettings.modelSettings.beta2
  • forecastingSettings.modelSettings.checkpointDatasetId
  • forecastingSettings.modelSettings.checkpointFilename
  • forecastingSettings.modelSettings.checkpointFrequency
  • forecastingSettings.modelSettings.checkpointRunId
  • forecastingSettings.modelSettings.distributed
  • forecastingSettings.modelSettings.earlyStopping
  • forecastingSettings.modelSettings.earlyStoppingDelay
  • forecastingSettings.modelSettings.earlyStoppingPatience
  • forecastingSettings.modelSettings.enableOnnxNormalization
  • forecastingSettings.modelSettings.evaluationFrequency
  • forecastingSettings.modelSettings.gradientAccumulationStep
  • forecastingSettings.modelSettings.layersToFreeze
  • forecastingSettings.modelSettings.learningRate
  • forecastingSettings.modelSettings.learningRateScheduler
  • forecastingSettings.modelSettings.modelName
  • forecastingSettings.modelSettings.momentum
  • forecastingSettings.modelSettings.nesterov
  • forecastingSettings.modelSettings.numberOfEpochs
  • forecastingSettings.modelSettings.numberOfWorkers
  • forecastingSettings.modelSettings.optimizer
  • forecastingSettings.modelSettings.randomSeed
  • forecastingSettings.modelSettings.splitRatio
  • forecastingSettings.modelSettings.stepLRGamma
  • forecastingSettings.modelSettings.stepLRStepSize
  • forecastingSettings.modelSettings.trainingBatchSize
  • forecastingSettings.modelSettings.trainingCropSize
  • forecastingSettings.modelSettings.validationBatchSize
  • forecastingSettings.modelSettings.validationCropSize
  • forecastingSettings.modelSettings.validationResizeSize
  • forecastingSettings.modelSettings.warmupCosineLRCycles
  • forecastingSettings.modelSettings.warmupCosineLRWarmupEpochs
  • forecastingSettings.modelSettings.weightDecay
  • forecastingSettings.modelSettings.weightedLoss
  • forecastingSettings.searchSpace
  • forecastingSettings.mode
  • forecastingSettings.uri
  • validationData
  • validationData.data
  • validationData.data.description
  • validationData.data.jobInputType
  • validationData.data.mode
  • validationData.data.uri
  • validationData.validationDataSize
  • Uri
  • modelSettings.boxDetectionsPerImage
  • modelSettings.boxScoreThreshold
  • modelSettings.imageSize
  • modelSettings.maxSize
  • modelSettings.minSize
  • modelSettings.modelSize
  • modelSettings.multiScale
  • modelSettings.nmsIouThreshold
  • modelSettings.tileGridSize
  • modelSettings.tileOverlapRatio
  • modelSettings.tilePredictionsNmsThreshold
  • modelSettings.validationIouThreshold
  • modelSettings.validationMetricType
  • testDataSize
  • trainingData
  • trainingData.data
  • trainingData.data.description
  • trainingData.data.jobInputType
  • trainingData.data.mode
  • trainingData.data.uri
  • validationData.cvSplitColumnNames
  • validationData.mode
  • validationData.value
  • codeId
  • comando
  • distribuzione
  • distribution.distributionType
  • distribution.processCountPerInstance
  • distribution.parameterServerCount
  • distribution.workerCount
  • Ingressi
  • Ingressi. {proprietà personalizzata}
  • inputs.description
  • inputs.jobInputType
  • inputs.mode
  • inputs.uri
  • inputs.value
  • Limiti
  • limits.jobLimitsType
  • limits.timeout
  • Lavori
  • Lavori. {proprietà personalizzata}
  • Impostazioni
  • limits.maxConcurrentTrials
  • limits.maxTotalTrials
  • limits.trialTimeout
  • campionamentoAlgorithm
  • samplingAlgorithm.samplingAlgorithmType
  • samplingAlgorithm.rule
  • samplingAlgorithm.seed
  • trial.resources
  • trial.resources.instanceCount
  • trial.resources.instanceType
  • trial.resources.properties
  • trial.resources.properties. {proprietà personalizzata}

Lontano:

  • properties.tags
  • properties.jobType
  • properties.codeId
  • properties.command
  • properties.compute
  • properties.compute.instanceCount
  • properties.compute.instanceType
  • properties.compute.isLocal
  • properties.compute.location
  • properties.compute.properties
  • properties.compute.properties. {proprietà personalizzata}
  • properties.compute.target
  • properties.distribution
  • properties.distribution.distributionType
  • properties.distribution.processCountPerInstance
  • properties.distribution.processCount
  • properties.distribution.parameterServerCount
  • properties.distribution.workerCount
  • properties.environmentId
  • properties.environmentVariables
  • properties.environmentVariables. {proprietà personalizzata}
  • properties.inputDataBindings
  • properties.inputDataBindings. {proprietà personalizzata}
  • properties.inputDataBindings.dataId
  • properties.inputDataBindings.mode
  • properties.inputDataBindings.pathOnCompute
  • outputDataBindings
  • outputDataBindings. {proprietà personalizzata}
  • outputDataBindings.datastoreId
  • outputDataBindings.mode
  • outputDataBindings.pathOnCompute
  • outputDataBindings.pathOnDatastore
  • priorità
  • algoritmo
  • calcolare
  • compute.instanceCount
  • compute.instanceType
  • compute.isLocal
  • compute.location
  • compute.properties
  • compute.properties. {proprietà personalizzata}
  • compute.target
  • experimentName
  • identità
  • identity.identityType
  • identity.clientId
  • identity.objectId
  • identity.resourceId
  • maxConcurrentTrials
  • maxTotalTrials
  • searchSpace. {proprietà personalizzata}
  • trial.distribution.processCount
  • trial.inputDataBindings
  • trial.inputDataBindings. {proprietà personalizzata}
  • trial.inputDataBindings.dataId
  • trial.inputDataBindings.mode
  • trial.inputDataBindings.pathOnCompute

Anteprima 2021-03-01

Versione meno recente rilevata nel log delle modifiche