RegressionExperimentSettings Class

Reference

Definition

Namespace:: Microsoft.ML.AutoML

Assembly:: Microsoft.ML.AutoML.dll

Package:: Microsoft.ML.AutoML v0.21.1

Important

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Settings for AutoML experiments on regression datasets.

public sealed class RegressionExperimentSettings : Microsoft.ML.AutoML.ExperimentSettings

type RegressionExperimentSettings = class
    inherit ExperimentSettings

Public NotInheritable Class RegressionExperimentSettings
Inherits ExperimentSettings

Inheritance: Object

ExperimentSettings
RegressionExperimentSettings

Constructors

RegressionExperimentSettings()

Initializes a new instance of RegressionExperimentSettings.

Fields

MaxModels

(Inherited from ExperimentSettings)

Properties

CacheBeforeTrainer	Whether AutoML should cache before ML.NET trainers. See WantCaching for more information on caching. (Inherited from ExperimentSettings)
CacheDirectoryName	This is the name of the directory where all models trained during the AutoML experiment will be saved. If `null`, models will be kept in memory instead of written to disk. (Please note: for an experiment with high runtime operating on a large dataset, opting to keep models in memory could cause a system to run out of memory.) (Inherited from ExperimentSettings)
CancellationToken	Cancellation token for the AutoML experiment. It propagates the notification that the experiment should be canceled. (Inherited from ExperimentSettings)
MaxExperimentTimeInSeconds	Maximum time in seconds the experiment is allowed to run. (Inherited from ExperimentSettings)
MaximumMemoryUsageInMegaByte	(Inherited from ExperimentSettings)
OptimizingMetric	Metric that AutoML will try to optimize over the course of the experiment.
Trainers	Collection of trainers the AutoML experiment can leverage.

Applies to