TelemetryConstants Clase
Define constantes de telemetría.
- Herencia
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builtins.objectTelemetryConstants
TelemetryConstants()
BATCH_TRAINING = 'BatchTraining'
BATCH_TRAINING_USER_FACING = 'Training model in batch'
BOOTSTRAP_STEPS = 'BootstrapSteps'
CDN_DOWNLOAD = 'CDNDownload'
COMPONENT_NAME = 'automl'
COMPUTE_CONFIDENCE_METRICS = 'ComputeConfidenceMetrics'
COMPUTE_METRICS_NAME = 'ComputeMetrics'
DATA_FETCH = 'DataFetch'
DATA_PREPARATION = 'DataPrep'
DATA_PREPARATION_USER_FACING = 'Preparing input data'
DATA_VALIDATION = 'DataValidation'
DATA_VALIDATION_USER_FACING = 'Validating input data'
DOWNLOAD_ENSEMBLING_MODELS = 'DownloadEnsemblingModels'
DOWNLOAD_MODEL = 'DownloadModel'
EXTERNAL_DOWNLOAD = 'ExternalDownload'
FAILURE = 'Failure'
FEATURIZATION = 'Featurization'
FEATURIZATION_STRATEGY = 'FeaturizationStrategy'
FEATURIZATION_STRATEGY_USER_FACING = 'Deciding featurization actions'
FEATURIZATION_USER_FACING = 'Featurizing data'
FIT_ITERATION_NAME = 'FitIteration'
GET_BEST_CHILD = 'GetBestChild'
GET_CHILDREN = 'GetChildren'
GET_OUTPUT = 'GetOutput'
GET_PIPELINE_NAME = 'GetPipeline'
LABELING_DATA_CONVERSION = 'LabelingDataConversion'
LABELING_DATA_DOWNLOAD = 'LabelingDataDownload'
LOAD_CACHED_DATA = 'LoadCachedData'
LOAD_CACHED_DATA_USER_FACING = 'Loading cached data'
LOAD_ONNX_CONVERTER = 'LoadOnnxConverter'
LOAD_ONNX_CONVERTER_USER_FACING = 'Loading ONNX converter'
LOG_METRICS = 'LogMetrics'
LOG_METRICS_USER_FACING = 'Logging run metrics'
METRIC_AND_SAVE_MODEL_NAME = 'SaveModelArtifacts'
METRIC_AND_SAVE_MODEL_USER_FACING = 'Uploading run output metadata'
MODEL_EXPLANATION = 'ModelExplanation'
MODEL_EXPLANATION_USER_FACING = 'Running model explainability'
ONNX_CONVERSION = 'OnnxConversion'
ONNX_CONVERSION_USER_FACING = 'Converting to ONNX model'
OUTPUT_NAME = 'Output'
PACKAGES_CHECK = 'PackagesCheck'
PREDICT_NAME = 'Predict'
PRE_PROCESS_NAME = 'PreProcess'
REGISTER_MODEL = 'RegisterModel'
REMOTE_INFERENCE = 'RemoteInference'
RUN_CV_MEAN_NAME = 'RunCVMean'
RUN_CV_NAME = 'RunCV'
RUN_ENSEMBLING_NAME = 'RunEnsembling'
RUN_INITIALIZATION = 'RunInitialization'
RUN_INITIALIZATION_USER_FACING = 'Initializing AutoML run'
RUN_NAME = 'Run'
RUN_PIPELINE_NAME = 'RunPipeline'
RUN_STATIONARY_CHECK_NAME = 'StationaryCheck'
RUN_STATIONARY_FEATURIZER_FIT_NAME = 'StationaryFeaturizerFit'
RUN_STATIONARY_FEATURIZER_TRANSFORM_NAME = 'StationaryFeaturizerTransform'
RUN_STATIONARY_INVERSE_TRANSFORM_NAME = 'StationaryInverseTransform'
RUN_TRAINING = 'RunE2ETraining'
RUN_TRAINING_USER_FACING = 'Running E2E training'
RUN_TRAIN_FULL_NAME = 'TrainFull'
RUN_TRAIN_VALID_NAME = 'TrainValid'
SPAN_FORMATTING = '{}.{}'
SUCCESS = 'Success'
ScriptRunFinalizing = 'ScriptRunFinalizing'
ScriptRunStarting = 'ScriptRunStarting'
TIME_FIT_ENSEMBLE_NAME = 'TimeFitEnsemble'
TIME_FIT_INPUT = 'TimeFitInput'
TIME_FIT_NAME = 'TimeFit'
TRAINING = 'Training'
TRAINING_USER_FACING = 'Training model'
VALIDATION = 'Validation'
VALIDATION_USER_FACING = 'Validating model quality'