com.amazonaws.services.sagemaker.model

Class ContinuousParameterRange

java.lang.Object

com.amazonaws.services.sagemaker.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

A list of continuous hyperparameters to tune.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
ContinuousParameterRange()

Method Summary

Modifier and Type	Method and Description
ContinuousParameterRange	clone()
boolean	equals(Object obj)
String	getMaxValue() The maximum value for the hyperparameter.
String	getMinValue() The minimum value for the hyperparameter.
String	getName() The name of the continuous 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(String maxValue) The maximum value for the hyperparameter.
void	setMinValue(String minValue) The minimum value for the hyperparameter.
void	setName(String name) The name of the continuous 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(String maxValue) The maximum value for the hyperparameter.
ContinuousParameterRange	withMinValue(String minValue) The minimum value for the hyperparameter.
ContinuousParameterRange	withName(String name) The name of the continuous hyperparameter to tune.
ContinuousParameterRange	withScalingType(HyperParameterScalingType 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 continuous hyperparameter to tune.

Parameters:

name - The name of the continuous hyperparameter to tune.

getName

public String getName()

The name of the continuous hyperparameter to tune.

Returns:

The name of the continuous hyperparameter to tune.

withName

public ContinuousParameterRange withName(String name)

The name of the continuous hyperparameter to tune.

Parameters:

name - The name of the continuous hyperparameter to tune.

Returns:

Returns a reference to this object so that method calls can be chained together.

setMinValue

public void setMinValue(String minValue)

The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

Parameters:

minValue - The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

getMinValue

public String getMinValue()

The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

Returns:

The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

withMinValue

public ContinuousParameterRange withMinValue(String minValue)

The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

Parameters:

minValue - The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

Returns:

Returns a reference to this object so that method calls can be chained together.

setMaxValue

public void setMaxValue(String maxValue)

The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

Parameters:

maxValue - The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

getMaxValue

public String getMaxValue()

The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

Returns:

The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

withMaxValue

public ContinuousParameterRange withMaxValue(String maxValue)

The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

Parameters:

maxValue - The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

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. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto

Amazon SageMaker 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 only 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.

Parameters:

scalingType - The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto

Amazon SageMaker 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 only 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.

See Also:

HyperParameterScalingType

getScalingType

public String getScalingType()

The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto

Amazon SageMaker 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 only 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.

Returns:

The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto

Amazon SageMaker 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 only 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.

See Also:

HyperParameterScalingType

withScalingType

public ContinuousParameterRange withScalingType(String scalingType)

The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto

Amazon SageMaker 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 only 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.

Parameters:

scalingType - The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto

Amazon SageMaker 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 only 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.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

HyperParameterScalingType

withScalingType

public ContinuousParameterRange withScalingType(HyperParameterScalingType scalingType)

The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto

Amazon SageMaker 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 only 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.

Parameters:

scalingType - The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto

Amazon SageMaker 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 only 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.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

HyperParameterScalingType

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.