RegressionPrimaryMetrics Struct
Definition
Important
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Primary metrics for Regression task.
[System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.RegressionPrimaryMetricsTypeConverter))]
public struct RegressionPrimaryMetrics : IEquatable<Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.RegressionPrimaryMetrics>, System.Management.Automation.IArgumentCompleter[<System.ComponentModel.TypeConverter(typeof(Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.RegressionPrimaryMetricsTypeConverter))>]
type RegressionPrimaryMetrics = struct
interface IArgumentCompleterPublic Structure RegressionPrimaryMetrics
Implements IArgumentCompleter, IEquatable(Of RegressionPrimaryMetrics)- Inheritance
-
RegressionPrimaryMetrics
- Attributes
- Implements
Fields
| 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
| CompleteArgument(String, String, String, CommandAst, IDictionary) |
Implementations of this function are called by PowerShell to complete arguments. |
| Equals(Object) |
Compares values of enum type RegressionPrimaryMetrics (override for Object) |
| Equals(RegressionPrimaryMetrics) |
Compares values of enum type RegressionPrimaryMetrics |
| GetHashCode() |
Returns hashCode for enum RegressionPrimaryMetrics |
| ToString() |
Returns string representation for RegressionPrimaryMetrics |
Operators
| Equality(RegressionPrimaryMetrics, RegressionPrimaryMetrics) |
Overriding == operator for enum RegressionPrimaryMetrics |
| Implicit(RegressionPrimaryMetrics to String) |
Implicit operator to convert RegressionPrimaryMetrics to string |
| Implicit(String to RegressionPrimaryMetrics) |
Implicit operator to convert string to RegressionPrimaryMetrics |
| Inequality(RegressionPrimaryMetrics, RegressionPrimaryMetrics) |
Overriding != operator for enum RegressionPrimaryMetrics |