MachineLearningTrainingSettings Class

Reference

Definition

Namespace:: Azure.ResourceManager.MachineLearning.Models

Assembly:: Azure.ResourceManager.MachineLearning.dll

Package:: Azure.ResourceManager.MachineLearning v1.2.1

Package:: Azure.ResourceManager.MachineLearning v1.2.0-beta.3

Source:: MachineLearningTrainingSettings.cs

Source:: MachineLearningTrainingSettings.cs

Important

Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

Training related configuration.

public class MachineLearningTrainingSettings : System.ClientModel.Primitives.IJsonModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningTrainingSettings>, System.ClientModel.Primitives.IPersistableModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningTrainingSettings>

public class MachineLearningTrainingSettings

type MachineLearningTrainingSettings = class
    interface IJsonModel<MachineLearningTrainingSettings>
    interface IPersistableModel<MachineLearningTrainingSettings>

type MachineLearningTrainingSettings = class

Public Class MachineLearningTrainingSettings
Implements IJsonModel(Of MachineLearningTrainingSettings), IPersistableModel(Of MachineLearningTrainingSettings)

Public Class MachineLearningTrainingSettings

Inheritance: Object
MachineLearningTrainingSettings

Derived: Azure.ResourceManager.MachineLearning.Models.ClassificationTrainingSettings

Azure.ResourceManager.MachineLearning.Models.ForecastingTrainingSettings

Azure.ResourceManager.MachineLearning.Models.RegressionTrainingSettings

Implements: IJsonModel<MachineLearningTrainingSettings> IPersistableModel<MachineLearningTrainingSettings> IPersistableModel<T>

Constructors

MachineLearningTrainingSettings()

Initializes a new instance of MachineLearningTrainingSettings.

Properties

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.
IsDnnTrainingEnabled	Enable recommendation of DNN models.
IsModelExplainabilityEnabled	Flag to turn on explainability on best model.
IsOnnxCompatibleModelsEnabled	Flag for enabling onnx compatible models.
IsStackEnsembleEnabled	Enable stack ensemble run.
IsVoteEnsembleEnabled	Enable voting ensemble run.
StackEnsembleSettings	Stack ensemble settings for stack ensemble run.
TrainingMode	TrainingMode mode - Setting to 'auto' is same as setting it to 'non-distributed' for now, however in the future may result in mixed mode or heuristics based mode selection. Default is 'auto'. If 'Distributed' then only distributed featurization is used and distributed algorithms are chosen. If 'NonDistributed' then only non distributed algorithms are chosen.

Explicit Interface Implementations

IJsonModel<MachineLearningTrainingSettings>.Create(Utf8JsonReader, ModelReaderWriterOptions)	Reads one JSON value (including objects or arrays) from the provided reader and converts it to a model.
IJsonModel<MachineLearningTrainingSettings>.Write(Utf8JsonWriter, ModelReaderWriterOptions)	Writes the model to the provided Utf8JsonWriter.
IPersistableModel<MachineLearningTrainingSettings>.Create(BinaryData, ModelReaderWriterOptions)	Converts the provided BinaryData into a model.
IPersistableModel<MachineLearningTrainingSettings>.GetFormatFromOptions(ModelReaderWriterOptions)	Gets the data interchange format (JSON, Xml, etc) that the model uses when communicating with the service.
IPersistableModel<MachineLearningTrainingSettings>.Write(ModelReaderWriterOptions)	Writes the model into a BinaryData.

Applies to

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