Interface Metrics.Builder
- All Superinterfaces:
- Buildable,- CopyableBuilder<Metrics.Builder,,- Metrics> - SdkBuilder<Metrics.Builder,,- Metrics> - SdkPojo
- Enclosing class:
- Metrics
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Method SummaryModifier and TypeMethodDescriptionaverageWeightedQuantileLoss(Double averageWeightedQuantileLoss) The average value of all weighted quantile losses.errorMetrics(Collection<ErrorMetric> errorMetrics) Provides detailed error metrics for each forecast type.errorMetrics(Consumer<ErrorMetric.Builder>... errorMetrics) Provides detailed error metrics for each forecast type.errorMetrics(ErrorMetric... errorMetrics) Provides detailed error metrics for each forecast type.Deprecated.This property is deprecated, please refer to ErrorMetrics for both RMSE and WAPEweightedQuantileLosses(Collection<WeightedQuantileLoss> weightedQuantileLosses) An array of weighted quantile losses.weightedQuantileLosses(Consumer<WeightedQuantileLoss.Builder>... weightedQuantileLosses) An array of weighted quantile losses.weightedQuantileLosses(WeightedQuantileLoss... weightedQuantileLosses) An array of weighted quantile losses.Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuildercopyMethods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilderapplyMutation, buildMethods inherited from interface software.amazon.awssdk.core.SdkPojoequalsBySdkFields, sdkFieldNameToField, sdkFields
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Method Details- 
rmseDeprecated.This property is deprecated, please refer to ErrorMetrics for both RMSE and WAPEThe 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.
 
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weightedQuantileLossesAn 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.
 
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weightedQuantileLossesAn 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.
 
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weightedQuantileLossesMetrics.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 theWeightedQuantileLoss.Builderavoiding the need to create one manually viaWeightedQuantileLoss.builder().When the Consumercompletes,SdkBuilder.build()is called immediately and its result is passed toweightedQuantileLosses(List<WeightedQuantileLoss>).- 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:
 
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errorMetricsProvides 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.
 
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errorMetricsProvides 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.
 
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errorMetricsProvides 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 theErrorMetric.Builderavoiding the need to create one manually viaErrorMetric.builder().When the Consumercompletes,SdkBuilder.build()is called immediately and its result is passed toerrorMetrics(List<ErrorMetric>).- 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:
 
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averageWeightedQuantileLossThe 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.
 
 
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