MachineLearningStackMetaLearnerType Struct

Reference

Definition

Namespace:: Azure.ResourceManager.MachineLearning.Models

Assembly:: Azure.ResourceManager.MachineLearning.dll

Package:: Azure.ResourceManager.MachineLearning v1.1.1

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

Source:: MachineLearningStackMetaLearnerType.cs

Source:: MachineLearningStackMetaLearnerType.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.

The meta-learner is a model trained on the output of the individual heterogeneous models. Default meta-learners are LogisticRegression for classification tasks (or LogisticRegressionCV if cross-validation is enabled) and ElasticNet for regression/forecasting tasks (or ElasticNetCV if cross-validation is enabled). This parameter can be one of the following strings: LogisticRegression, LogisticRegressionCV, LightGBMClassifier, ElasticNet, ElasticNetCV, LightGBMRegressor, or LinearRegression

public readonly struct MachineLearningStackMetaLearnerType : IEquatable<Azure.ResourceManager.MachineLearning.Models.MachineLearningStackMetaLearnerType>

type MachineLearningStackMetaLearnerType = struct

Public Structure MachineLearningStackMetaLearnerType
Implements IEquatable(Of MachineLearningStackMetaLearnerType)

Inheritance: ValueType
MachineLearningStackMetaLearnerType

Implements: IEquatable<MachineLearningStackMetaLearnerType>

Constructors

MachineLearningStackMetaLearnerType(String)

Initializes a new instance of MachineLearningStackMetaLearnerType.

Properties

ElasticNet	Default meta-learners are LogisticRegression for regression task.
ElasticNetCV	Default meta-learners are LogisticRegression for regression task when CV is on.
LightGBMClassifier	LightGBMClassifier.
LightGBMRegressor	LightGBMRegressor.
LinearRegression	LinearRegression.
LogisticRegression	Default meta-learners are LogisticRegression for classification tasks.
LogisticRegressionCV	Default meta-learners are LogisticRegression for classification task when CV is on.
None	None.

Methods

Equals(MachineLearningStackMetaLearnerType)	Indicates whether the current object is equal to another object of the same type.
ToString()	Returns the fully qualified type name of this instance.

Operators

Equality(MachineLearningStackMetaLearnerType, MachineLearningStackMetaLearnerType)	Determines if two MachineLearningStackMetaLearnerType values are the same.
Implicit(String to MachineLearningStackMetaLearnerType)	Converts a string to a MachineLearningStackMetaLearnerType.
Inequality(MachineLearningStackMetaLearnerType, MachineLearningStackMetaLearnerType)	Determines if two MachineLearningStackMetaLearnerType values are not the same.

Applies to