ContinuousParameterRange (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.forecast.model.ContinuousParameterRange

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class ContinuousParameterRange
extends Object
implements Serializable, Cloneable, StructuredPojo
```
Specifies a continuous hyperparameter and it's range of tunable values. This object is part of the ParameterRanges object.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

ContinuousParameterRange()

Constructors
Constructor and Description
`ContinuousParameterRange()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`ContinuousParameterRange`	`clone()`
`boolean`	`equals(Object obj)`
`Double`	`getMaxValue()` The maximum tunable value of the hyperparameter.
`Double`	`getMinValue()` The minimum tunable value of the hyperparameter.
`String`	`getName()` The name of the hyperparameter to tune.
`String`	`getScalingType()` The scale that hyperparameter tuning uses to search the hyperparameter range.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setMaxValue(Double maxValue)` The maximum tunable value of the hyperparameter.
`void`	`setMinValue(Double minValue)` The minimum tunable value of the hyperparameter.
`void`	`setName(String name)` The name of the hyperparameter to tune.
`void`	`setScalingType(String scalingType)` The scale that hyperparameter tuning uses to search the hyperparameter range.
`String`	`toString()` Returns a string representation of this object.
`ContinuousParameterRange`	`withMaxValue(Double maxValue)` The maximum tunable value of the hyperparameter.
`ContinuousParameterRange`	`withMinValue(Double minValue)` The minimum tunable value of the hyperparameter.
`ContinuousParameterRange`	`withName(String name)` The name of the hyperparameter to tune.
`ContinuousParameterRange`	`withScalingType(ScalingType scalingType)` The scale that hyperparameter tuning uses to search the hyperparameter range.
`ContinuousParameterRange`	`withScalingType(String scalingType)` The scale that hyperparameter tuning uses to search the hyperparameter range.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - ContinuousParameterRange
```
public ContinuousParameterRange()
```
- Method Detail
  - setName
```
public void setName(String name)
```
    The name of the hyperparameter to tune.
    
    Parameters:
    
    name - The name of the hyperparameter to tune.
  - getName
```
public String getName()
```
    The name of the hyperparameter to tune.
    
    Returns:
    
    The name of the hyperparameter to tune.
  - withName
```
public ContinuousParameterRange withName(String name)
```
    The name of the hyperparameter to tune.
    
    Parameters:
    
    name - The name of the hyperparameter to tune.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setMaxValue
```
public void setMaxValue(Double maxValue)
```
    The maximum tunable value of the hyperparameter.
    
    Parameters:
    
    maxValue - The maximum tunable value of the hyperparameter.
  - getMaxValue
```
public Double getMaxValue()
```
    The maximum tunable value of the hyperparameter.
    
    Returns:
    
    The maximum tunable value of the hyperparameter.
  - withMaxValue
```
public ContinuousParameterRange withMaxValue(Double maxValue)
```
    The maximum tunable value of the hyperparameter.
    
    Parameters:
    
    maxValue - The maximum tunable value of the hyperparameter.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setMinValue
```
public void setMinValue(Double minValue)
```
    The minimum tunable value of the hyperparameter.
    
    Parameters:
    
    minValue - The minimum tunable value of the hyperparameter.
  - getMinValue
```
public Double getMinValue()
```
    The minimum tunable value of the hyperparameter.
    
    Returns:
    
    The minimum tunable value of the hyperparameter.
  - withMinValue
```
public ContinuousParameterRange withMinValue(Double minValue)
```
    The minimum tunable value of the hyperparameter.
    
    Parameters:
    
    minValue - The minimum tunable value of the hyperparameter.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setScalingType
```
public void setScalingType(String scalingType)
```
    The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:
    
    Auto
    
    Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
    
    Linear
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
    
    Logarithmic
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
    
    Logarithmic scaling works only for ranges that have values greater than 0.
    
    ReverseLogarithmic
    
    hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
    
    Reverse logarithmic scaling works only for ranges that are entirely within the range 0 <= x < 1.0.
    
    For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
    
    Parameters:
    
    scalingType - The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:
    
    Auto
    
    Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
    
    Linear
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
    
    Logarithmic
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
    
    Logarithmic scaling works only for ranges that have values greater than 0.
    
    ReverseLogarithmic
    
    hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
    
    Reverse logarithmic scaling works only for ranges that are entirely within the range 0 <= x < 1.0.
    
    For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
    
    See Also:
    
    ScalingType
  - getScalingType
```
public String getScalingType()
```
    The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:
    
    Auto
    
    Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
    
    Linear
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
    
    Logarithmic
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
    
    Logarithmic scaling works only for ranges that have values greater than 0.
    
    ReverseLogarithmic
    
    hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
    
    Reverse logarithmic scaling works only for ranges that are entirely within the range 0 <= x < 1.0.
    
    For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
    
    Returns:
    
    The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:
    
    Auto
    
    Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
    
    Linear
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
    
    Logarithmic
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
    
    Logarithmic scaling works only for ranges that have values greater than 0.
    
    ReverseLogarithmic
    
    hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
    
    Reverse logarithmic scaling works only for ranges that are entirely within the range 0 <= x < 1.0.
    
    For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
    
    See Also:
    
    ScalingType
  - withScalingType
```
public ContinuousParameterRange withScalingType(String scalingType)
```
    The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:
    
    Auto
    
    Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
    
    Linear
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
    
    Logarithmic
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
    
    Logarithmic scaling works only for ranges that have values greater than 0.
    
    ReverseLogarithmic
    
    hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
    
    Reverse logarithmic scaling works only for ranges that are entirely within the range 0 <= x < 1.0.
    
    For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
    
    Parameters:
    
    scalingType - The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:
    
    Auto
    
    Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
    
    Linear
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
    
    Logarithmic
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
    
    Logarithmic scaling works only for ranges that have values greater than 0.
    
    ReverseLogarithmic
    
    hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
    
    Reverse logarithmic scaling works only for ranges that are entirely within the range 0 <= x < 1.0.
    
    For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ScalingType
  - withScalingType
```
public ContinuousParameterRange withScalingType(ScalingType scalingType)
```
    The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:
    
    Auto
    
    Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
    
    Linear
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
    
    Logarithmic
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
    
    Logarithmic scaling works only for ranges that have values greater than 0.
    
    ReverseLogarithmic
    
    hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
    
    Reverse logarithmic scaling works only for ranges that are entirely within the range 0 <= x < 1.0.
    
    For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
    
    Parameters:
    
    scalingType - The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:
    
    Auto
    
    Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
    
    Linear
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
    
    Logarithmic
    
    Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
    
    Logarithmic scaling works only for ranges that have values greater than 0.
    
    ReverseLogarithmic
    
    hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
    
    Reverse logarithmic scaling works only for ranges that are entirely within the range 0 <= x < 1.0.
    
    For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ScalingType
  - toString
```
public String toString()
```
    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public ContinuousParameterRange clone()
```
    Overrides:
    
    clone in class Object
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Description copied from interface: StructuredPojo
    
    Marshalls this structured data using the given ProtocolMarshaller.
    
    Specified by:
    
    marshall in interface StructuredPojo
    
    Parameters:
    
    protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.

AWS SDK for Java 1.x API Reference - 1.12.778

Class ContinuousParameterRange

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

ContinuousParameterRange

Method Detail

setName

getName

withName

setMaxValue

getMaxValue

withMaxValue

setMinValue

getMinValue

withMinValue

setScalingType

getScalingType

withScalingType

withScalingType

toString

equals

hashCode

clone

marshall