Metrics

class Metrics

Provides metrics that are used to evaluate the performance of a predictor. This object is part of the WindowSummary object.

Types

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class Builder
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object Companion

Properties

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The average value of all weighted quantile losses.

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Provides detailed error metrics for each forecast type. Metrics include root-mean square-error (RMSE), mean absolute percentage error (MAPE), mean absolute scaled error (MASE), and weighted average percentage error (WAPE).

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val rmse: Double?

The root-mean-square error (RMSE).

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An array of weighted quantile losses. Quantiles divide a probability distribution into regions of equal probability. The distribution in this case is the loss function.

Functions

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inline fun copy(block: Metrics.Builder.() -> Unit = {}): Metrics
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open operator override fun equals(other: Any?): Boolean
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open override fun hashCode(): Int
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open override fun toString(): String