ExperimentSettings Class

Definition

Namespace:

Microsoft.ML.AutoML

Assembly:

Microsoft.ML.AutoML.dll

Package:

Microsoft.ML.AutoML v0.21.1

Base class for experiment settings. All task-specific AutoML experiment settings (like BinaryExperimentSettings) inherit from this class.

public abstract class ExperimentSettings

type ExperimentSettings = class

Public MustInherit Class ExperimentSettings

Inheritance

Object

ExperimentSettings

Derived

Microsoft.ML.AutoML.AutoMLExperiment.AutoMLExperimentSettings

Microsoft.ML.AutoML.BinaryExperimentSettings

Microsoft.ML.AutoML.MulticlassExperimentSettings

Microsoft.ML.AutoML.RankingExperimentSettings

Microsoft.ML.AutoML.RecommendationExperimentSettings

Microsoft.ML.AutoML.RegressionExperimentSettings

Constructors

ExperimentSettings()

Initializes a new instance of ExperimentSettings.

Fields

MaxModels

Properties

CacheBeforeTrainer	Whether AutoML should cache before ML.NET trainers. See WantCaching for more information on caching.
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.)
CancellationToken	Cancellation token for the AutoML experiment. It propagates the notification that the experiment should be canceled.
MaxExperimentTimeInSeconds	Maximum time in seconds the experiment is allowed to run.
MaximumMemoryUsageInMegaByte