@Generated(value="com.amazonaws:awsjavasdkcodegenerator") public class WeightedQuantileLoss extends Object implements Serializable, Cloneable, StructuredPojo
The weighted loss value for a quantile. This object is part of the Metrics object.
Constructor and Description 

WeightedQuantileLoss() 
Modifier and Type  Method and Description 

WeightedQuantileLoss 
clone() 
boolean 
equals(Object obj) 
Double 
getLossValue()
The difference between the predicted value and the actual value over the quantile, weighted (normalized) by
dividing by the sum over all quantiles.

Double 
getQuantile()
The quantile.

int 
hashCode() 
void 
marshall(ProtocolMarshaller protocolMarshaller)
Marshalls this structured data using the given
ProtocolMarshaller . 
void 
setLossValue(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.

void 
setQuantile(Double quantile)
The quantile.

String 
toString()
Returns a string representation of this object.

WeightedQuantileLoss 
withLossValue(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 
withQuantile(Double quantile)
The quantile.

public void setQuantile(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.
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.public Double getQuantile()
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.
public WeightedQuantileLoss withQuantile(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.
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.public void setLossValue(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.
lossValue
 The difference between the predicted value and the actual value over the quantile, weighted (normalized)
by dividing by the sum over all quantiles.public Double getLossValue()
The difference between the predicted value and the actual value over the quantile, weighted (normalized) by dividing by the sum over all quantiles.
public WeightedQuantileLoss withLossValue(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.
lossValue
 The difference between the predicted value and the actual value over the quantile, weighted (normalized)
by dividing by the sum over all quantiles.public String toString()
toString
in class Object
Object.toString()
public WeightedQuantileLoss clone()
public void marshall(ProtocolMarshaller protocolMarshaller)
StructuredPojo
ProtocolMarshaller
.marshall
in interface StructuredPojo
protocolMarshaller
 Implementation of ProtocolMarshaller
used to marshall this object's data.