RankingExperimentSettings Class

Definition

Namespace:

Microsoft.ML.AutoML

Assembly:

Microsoft.ML.AutoML.dll

Package:

Microsoft.ML.AutoML v0.21.1

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

type RankingExperimentSettings = class
    inherit ExperimentSettings

Public NotInheritable Class RankingExperimentSettings
Inherits ExperimentSettings

Inheritance

Object

ExperimentSettings

RankingExperimentSettings

Constructors

RankingExperimentSettings()

Initializes a new instance of RankingExperimentSettings.

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)
OptimizationMetricTruncationLevel	Maximum truncation level for computing (N)DCG
OptimizingMetric	Metric that AutoML will try to optimize over the course of the experiment.
Trainers	Collection of trainers the AutoML experiment can leverage.