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ITrainingSettings Interface

Definition

[System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.TrainingSettingsTypeConverter))]
public interface ITrainingSettings : Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Runtime.IJsonSerializable
[<System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20240401.TrainingSettingsTypeConverter))>]
type ITrainingSettings = interface
    interface IJsonSerializable
Public Interface ITrainingSettings
Implements IJsonSerializable
Derived
Attributes
Implements

Properties

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.

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

ToJson(JsonObject, SerializationMode) (Inherited from IJsonSerializable)

Applies to