ForecastingPrimaryMetric Struct
Definition
Important
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Primary metrics for Forecasting task.
public readonly struct ForecastingPrimaryMetric : IEquatable<Azure.ResourceManager.MachineLearning.Models.ForecastingPrimaryMetric>type ForecastingPrimaryMetric = structPublic Structure ForecastingPrimaryMetric
Implements IEquatable(Of ForecastingPrimaryMetric)- Inheritance
-
ForecastingPrimaryMetric
- Implements
Constructors
| Name | Description |
|---|---|
| ForecastingPrimaryMetric(String) |
Initializes a new instance of ForecastingPrimaryMetric. |
Properties
| Name | Description |
|---|---|
| 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
| Name | Description |
|---|---|
| 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
| Name | Description |
|---|---|
| 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. |
