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ArmMachineLearningModelFactory.ForecastingTrainingSettings Method

Definition

Forecasting Training related configuration.

public static Azure.ResourceManager.MachineLearning.Models.ForecastingTrainingSettings ForecastingTrainingSettings(bool? enableDnnTraining = default, bool? enableModelExplainability = default, bool? enableOnnxCompatibleModels = default, bool? enableStackEnsemble = default, bool? enableVoteEnsemble = default, TimeSpan? ensembleModelDownloadTimeout = default, Azure.ResourceManager.MachineLearning.Models.MachineLearningStackEnsembleSettings stackEnsembleSettings = default, System.Collections.Generic.IEnumerable<Azure.ResourceManager.MachineLearning.Models.ForecastingModel> allowedTrainingAlgorithms = default, System.Collections.Generic.IEnumerable<Azure.ResourceManager.MachineLearning.Models.ForecastingModel> blockedTrainingAlgorithms = default);
static member ForecastingTrainingSettings : Nullable<bool> * Nullable<bool> * Nullable<bool> * Nullable<bool> * Nullable<bool> * Nullable<TimeSpan> * Azure.ResourceManager.MachineLearning.Models.MachineLearningStackEnsembleSettings * seq<Azure.ResourceManager.MachineLearning.Models.ForecastingModel> * seq<Azure.ResourceManager.MachineLearning.Models.ForecastingModel> -> Azure.ResourceManager.MachineLearning.Models.ForecastingTrainingSettings
Public Shared Function ForecastingTrainingSettings (Optional enableDnnTraining As Nullable(Of Boolean) = Nothing, Optional enableModelExplainability As Nullable(Of Boolean) = Nothing, Optional enableOnnxCompatibleModels As Nullable(Of Boolean) = Nothing, Optional enableStackEnsemble As Nullable(Of Boolean) = Nothing, Optional enableVoteEnsemble As Nullable(Of Boolean) = Nothing, Optional ensembleModelDownloadTimeout As Nullable(Of TimeSpan) = Nothing, Optional stackEnsembleSettings As MachineLearningStackEnsembleSettings = Nothing, Optional allowedTrainingAlgorithms As IEnumerable(Of ForecastingModel) = Nothing, Optional blockedTrainingAlgorithms As IEnumerable(Of ForecastingModel) = Nothing) As ForecastingTrainingSettings

Parameters

enableDnnTraining
Nullable<Boolean>

Enable recommendation of DNN models.

enableModelExplainability
Nullable<Boolean>

Flag to turn on explainability on best model.

enableOnnxCompatibleModels
Nullable<Boolean>

Flag for enabling onnx compatible models.

enableStackEnsemble
Nullable<Boolean>

Enable stack ensemble run.

enableVoteEnsemble
Nullable<Boolean>

Enable voting ensemble run.

ensembleModelDownloadTimeout
Nullable<TimeSpan>

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.

stackEnsembleSettings
MachineLearningStackEnsembleSettings

Stack ensemble settings for stack ensemble run.

allowedTrainingAlgorithms
IEnumerable<ForecastingModel>

Allowed models for forecasting task.

blockedTrainingAlgorithms
IEnumerable<ForecastingModel>

Blocked models for forecasting task.

Returns

A new ForecastingTrainingSettings instance for mocking.

Applies to