ForecastingPrimaryMetric 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:: ForecastingPrimaryMetric.cs

Source:: ForecastingPrimaryMetric.cs

Important

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Primary metrics for Forecasting task.

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

type ForecastingPrimaryMetric = struct

Public Structure ForecastingPrimaryMetric
Implements IEquatable(Of ForecastingPrimaryMetric)

Inheritance: ValueType
ForecastingPrimaryMetric

Implements: IEquatable<ForecastingPrimaryMetric>

Constructors

ForecastingPrimaryMetric(String)

Initializes a new instance of ForecastingPrimaryMetric.

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 non-parametric measure of rank correlation.

Methods

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

Applies to