Interface Metrics.Builder
- All Superinterfaces:
Buildable
,CopyableBuilder<Metrics.Builder,
,Metrics> SdkBuilder<Metrics.Builder,
,Metrics> SdkPojo
- Enclosing class:
Metrics
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Method Summary
Modifier 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.CopyableBuilder
copy
Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, build
Methods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFields
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Method Details
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rmse
Deprecated.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.
-
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.
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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.
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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 theWeightedQuantileLoss.Builder
avoiding the need to create one manually viaWeightedQuantileLoss.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed toweightedQuantileLosses(List<WeightedQuantileLoss>)
.- Parameters:
weightedQuantileLosses
- a consumer that will call methods onWeightedQuantileLoss.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
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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.
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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.
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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 theErrorMetric.Builder
avoiding the need to create one manually viaErrorMetric.builder()
.When the
Consumer
completes,SdkBuilder.build()
is called immediately and its result is passed toerrorMetrics(List<ErrorMetric>)
.- Parameters:
errorMetrics
- a consumer that will call methods onErrorMetric.Builder
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
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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.
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