WeightedQuantileLoss.Builder (AWS Java SDK :: Services :: Forecast 2.30.3 API)

All Superinterfaces:

Buildable, CopyableBuilder<WeightedQuantileLoss.Builder,WeightedQuantileLoss>, SdkBuilder<WeightedQuantileLoss.Builder,WeightedQuantileLoss>, SdkPojo

Enclosing class:

WeightedQuantileLoss
```
public static interface WeightedQuantileLoss.Builder
extends SdkPojo, CopyableBuilder<WeightedQuantileLoss.Builder,WeightedQuantileLoss>
```

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`WeightedQuantileLoss.Builder`	`lossValue(Double lossValue)`	The difference between the predicted value and the actual value over the quantile, weighted (normalized) by dividing by the sum over all quantiles.
`WeightedQuantileLoss.Builder`	`quantile(Double quantile)`	The quantile.

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, sdkFieldNameToField, sdkFields

- Method Detail
  - quantile
```
WeightedQuantileLoss.Builder quantile(Double quantile)
```
    The quantile. Quantiles divide a probability distribution into regions of equal probability. For example, if the distribution was divided into 5 regions of equal probability, the quantiles would be 0.2, 0.4, 0.6, and 0.8.
    
    Parameters:
    
    quantile - The quantile. Quantiles divide a probability distribution into regions of equal probability. For example, if the distribution was divided into 5 regions of equal probability, the quantiles would be 0.2, 0.4, 0.6, and 0.8.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - lossValue
```
WeightedQuantileLoss.Builder lossValue(Double lossValue)
```
    The difference between the predicted value and the actual value over the quantile, weighted (normalized) by dividing by the sum over all quantiles.
    
    Parameters:
    
    lossValue - The difference between the predicted value and the actual value over the quantile, weighted (normalized) by dividing by the sum over all quantiles.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.