Package software.amazon.awssdk.services.forecast.model

Interface Metrics.Builder

    • Method Detail

      • rmse

        @Deprecated
Metrics.Builder rmse​(Double rmse)
        Deprecated.
        This property is deprecated, please refer to ErrorMetrics for both RMSE and WAPE

        The root-mean-square error (RMSE).

        Parameters:
        rmse - The root-mean-square error (RMSE).
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • weightedQuantileLosses

        Metrics.Builder weightedQuantileLosses​(Collection<WeightedQuantileLoss> weightedQuantileLosses)

        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.

        Parameters:
        weightedQuantileLosses - 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.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • weightedQuantileLosses

        Metrics.Builder weightedQuantileLosses​(WeightedQuantileLoss... weightedQuantileLosses)

        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.

        Parameters:
        weightedQuantileLosses - 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.
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • weightedQuantileLosses

        Metrics.Builder weightedQuantileLosses​(Consumer<WeightedQuantileLoss.Builder>... weightedQuantileLosses)

        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.

        This is a convenience method that creates an instance of the WeightedQuantileLoss.Builder avoiding the need to create one manually via WeightedQuantileLoss.builder() .

        When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to #weightedQuantileLosses(List).

        Parameters:
        weightedQuantileLosses - a consumer that will call methods on WeightedQuantileLoss.Builder
        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        #weightedQuantileLosses(java.util.Collection)

      • errorMetrics

        Metrics.Builder errorMetrics​(Collection<ErrorMetric> errorMetrics)

        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).

        Parameters:
        errorMetrics - 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).
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • errorMetrics

        Metrics.Builder errorMetrics​(ErrorMetric... errorMetrics)

        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).

        Parameters:
        errorMetrics - 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).
        Returns:
        Returns a reference to this object so that method calls can be chained together.

      • errorMetrics

        Metrics.Builder errorMetrics​(Consumer<ErrorMetric.Builder>... errorMetrics)

        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).

        This is a convenience method that creates an instance of the ErrorMetric.Builder avoiding the need to create one manually via ErrorMetric.builder().

        When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to #errorMetrics(List).

        Parameters:
        errorMetrics - a consumer that will call methods on ErrorMetric.Builder
        Returns:
        Returns a reference to this object so that method calls can be chained together.
        See Also:
        #errorMetrics(java.util.Collection)

      • averageWeightedQuantileLoss

        Metrics.Builder averageWeightedQuantileLoss​(Double averageWeightedQuantileLoss)

        The average value of all weighted quantile losses.

        Parameters:
        averageWeightedQuantileLoss - The average value of all weighted quantile losses.
        Returns:
        Returns a reference to this object so that method calls can be chained together.