AutoMLVerticalRegressionPrimaryMetric 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:: AutoMLVerticalRegressionPrimaryMetric.cs

Source:: AutoMLVerticalRegressionPrimaryMetric.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.

Primary metrics for Regression task.

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

type AutoMLVerticalRegressionPrimaryMetric = struct

Public Structure AutoMLVerticalRegressionPrimaryMetric
Implements IEquatable(Of AutoMLVerticalRegressionPrimaryMetric)

Inheritance: ValueType
AutoMLVerticalRegressionPrimaryMetric

Implements: IEquatable<AutoMLVerticalRegressionPrimaryMetric>

Constructors

AutoMLVerticalRegressionPrimaryMetric(String)

Initializes a new instance of AutoMLVerticalRegressionPrimaryMetric.

Properties

NormalizedMeanAbsoluteError	The Normalized Mean Absolute Error (NMAE) is a validation metric to compare the Mean Absolute Error (MAE) of (time) series with different scales.
NormalizedRootMeanSquaredError	The Normalized Root Mean Squared Error (NRMSE) the RMSE facilitates the comparison between models with different scales.
R2Score	The R2 score is one of the performance evaluation measures for forecasting-based machine learning models.
SpearmanCorrelation	The Spearman's rank coefficient of correlation is a nonparametric measure of rank correlation.

Methods

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

Applies to