AutoMLVerticalRegressionPrimaryMetric Struct
Definition
Important
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Primary metrics for Regression task.
public readonly struct AutoMLVerticalRegressionPrimaryMetric : IEquatable<Azure.ResourceManager.MachineLearning.Models.AutoMLVerticalRegressionPrimaryMetric>type AutoMLVerticalRegressionPrimaryMetric = structPublic 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. |
