RegressionTrainingSettings Class

Reference

Definition

Namespace:: Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401

Assembly:: Az.MachineLearningServices.private.dll

Important

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Regression Training related configuration.

[System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.RegressionTrainingSettingsTypeConverter))]
public class RegressionTrainingSettings : Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.IRegressionTrainingSettings, Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Runtime.IValidates

[<System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.RegressionTrainingSettingsTypeConverter))>]
type RegressionTrainingSettings = class
    interface IRegressionTrainingSettings
    interface IJsonSerializable
    interface ITrainingSettings
    interface IValidates

Public Class RegressionTrainingSettings
Implements IRegressionTrainingSettings, IValidates

Inheritance: Object
RegressionTrainingSettings

Attributes: TypeConverterAttribute

Implements: IRegressionTrainingSettings ITrainingSettings IJsonSerializable IValidates

Constructors

RegressionTrainingSettings()

Creates an new RegressionTrainingSettings instance.

Properties

AllowedTrainingAlgorithm	Allowed models for regression task.
BlockedTrainingAlgorithm	Blocked models for regression task.
EnableDnnTraining	Enable recommendation of DNN models.
EnableModelExplainability	Flag to turn on explainability on best model.
EnableOnnxCompatibleModel	Flag for enabling onnx compatible models.
EnableStackEnsemble	Enable stack ensemble run.
EnableVoteEnsemble	Enable voting ensemble run.
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.
StackEnsembleSetting	Stack ensemble settings for stack ensemble run.
StackEnsembleSettingStackMetaLearnerKWarg	Optional parameters to pass to the initializer of the meta-learner.
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.
StackEnsembleSettingStackMetaLearnerType	The meta-learner is a model trained on the output of the individual heterogeneous models.

Methods

DeserializeFromDictionary(IDictionary)	Deserializes a IDictionary into an instance of RegressionTrainingSettings.
DeserializeFromPSObject(PSObject)	Deserializes a PSObject into an instance of RegressionTrainingSettings.
FromJson(JsonNode)	Deserializes a JsonNode into an instance of Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.IRegressionTrainingSettings.
FromJsonString(String)	Creates a new instance of RegressionTrainingSettings, deserializing the content from a json string.
ToJson(JsonObject, SerializationMode)	Serializes this instance of RegressionTrainingSettings into a JsonNode.
ToJsonString()	Serializes this instance to a json string.
ToString()
Validate(IEventListener)	Validates that this object meets the validation criteria.

Applies to

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