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IForecastingTrainingSettings Interface

  • Reference

Definition

Namespace:
Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401
Assembly:
Az.MachineLearningServices.private.dll
[System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.ForecastingTrainingSettingsTypeConverter))]
public interface IForecastingTrainingSettings : Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.ITrainingSettings
[<System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.ForecastingTrainingSettingsTypeConverter))>]
type IForecastingTrainingSettings = interface
    interface IJsonSerializable
    interface ITrainingSettings
Public Interface IForecastingTrainingSettings
Implements ITrainingSettings
Derived
Attributes
TypeConverterAttribute
Implements
ITrainingSettings IJsonSerializable

Properties

AllowedTrainingAlgorithm

Allowed models for forecasting task.
BlockedTrainingAlgorithm

Blocked models for forecasting task.
EnableDnnTraining

Enable recommendation of DNN models.

(Inherited from ITrainingSettings)
EnableModelExplainability

Flag to turn on explainability on best model.

(Inherited from ITrainingSettings)
EnableOnnxCompatibleModel

Flag for enabling onnx compatible models.

(Inherited from ITrainingSettings)
EnableStackEnsemble

Enable stack ensemble run.

(Inherited from ITrainingSettings)
EnableVoteEnsemble

Enable voting ensemble run.

(Inherited from ITrainingSettings)
EnsembleModelDownloadTimeout

During VotingEnsemble and StackEnsemble model generation, multiple fitted models from the previous child runs are downloaded. Configure this parameter with a higher value than 300 secs, if more time is needed.

(Inherited from ITrainingSettings)
StackEnsembleSettingStackMetaLearnerKWarg

Optional parameters to pass to the initializer of the meta-learner.

(Inherited from ITrainingSettings)
StackEnsembleSettingStackMetaLearnerTrainPercentage

Specifies the proportion of the training set (when choosing train and validation type of training) to be reserved for training the meta-learner. Default value is 0.2.

(Inherited from ITrainingSettings)
StackEnsembleSettingStackMetaLearnerType

The meta-learner is a model trained on the output of the individual heterogeneous models.

(Inherited from ITrainingSettings)

Methods

ToJson(JsonObject, SerializationMode) (Inherited from IJsonSerializable)

Applies to