pulumi-azure-native-kotlin/com.pulumi.azurenative.machinelearningservices.kotlin.enums/ForecastingPrimaryMetrics

ForecastingPrimaryMetrics

enum ForecastingPrimaryMetrics : Enum<ForecastingPrimaryMetrics> , ConvertibleToJava<ForecastingPrimaryMetrics>

Primary metric for forecasting task.

Entries

The Spearman's rank coefficient of correlation is a non-parametric measure of rank correlation.

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.

NormalizedMeanAbsoluteError

The Normalized Mean Absolute Error (NMAE) is a validation metric to compare the Mean Absolute Error (MAE) of (time) series with different scales.

Types

Companion

object Companion

Properties

entries

val entries: EnumEntries<ForecastingPrimaryMetrics>

Returns a representation of an immutable list of all enum entries, in the order they're declared.

javaValue

val javaValue: ForecastingPrimaryMetrics

name

val name: String

ordinal

val ordinal: Int

Functions

toJava

open override fun toJava(): ForecastingPrimaryMetrics

valueOf

fun valueOf(value: String): ForecastingPrimaryMetrics

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)

values

fun values(): Array<ForecastingPrimaryMetrics>

Returns an array containing the constants of this enum type, in the order they're declared.