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AutoMLVerticalRegressionPrimaryMetric Struct

Definition

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
AutoMLVerticalRegressionPrimaryMetric
Implements

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