software.amazon.awssdk.services.sagemaker.model

Class ContinuousParameterRange

java.lang.Object

software.amazon.awssdk.services.sagemaker.model.ContinuousParameterRange

All Implemented Interfaces:

Serializable, SdkPojo, ToCopyableBuilder<ContinuousParameterRange.Builder,ContinuousParameterRange>

@Generated(value="software.amazon.awssdk:codegen")
public final class ContinuousParameterRange
extends Object
implements SdkPojo, Serializable, ToCopyableBuilder<ContinuousParameterRange.Builder,ContinuousParameterRange>

A list of continuous hyperparameters to tune.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static interface	ContinuousParameterRange.Builder

Method Summary

Modifier and Type	Method and Description
static ContinuousParameterRange.Builder	builder()
boolean	equals(Object obj)
boolean	equalsBySdkFields(Object obj)
<T> Optional<T>	getValueForField(String fieldName, Class<T> clazz)
int	hashCode()
String	maxValue() The maximum value for the hyperparameter.
String	minValue() The minimum value for the hyperparameter.
String	name() The name of the continuous hyperparameter to tune.
HyperParameterScalingType	scalingType() The scale that hyperparameter tuning uses to search the hyperparameter range.
String	scalingTypeAsString() The scale that hyperparameter tuning uses to search the hyperparameter range.
List<SdkField<?>>	sdkFields()
static Class<? extends ContinuousParameterRange.Builder>	serializableBuilderClass()
ContinuousParameterRange.Builder	toBuilder()
String	toString() Returns a string representation of this object.

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder

copy

Method Detail

name

public String name()

The name of the continuous hyperparameter to tune.

Returns:

The name of the continuous hyperparameter to tune.

minValue

public String minValue()

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.

maxValue

public String maxValue()

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.

scalingType

public 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.

If the service returns an enum value that is not available in the current SDK version, scalingType will return HyperParameterScalingType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from scalingTypeAsString().

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

scalingTypeAsString

public String scalingTypeAsString()

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.

If the service returns an enum value that is not available in the current SDK version, scalingType will return HyperParameterScalingType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from scalingTypeAsString().

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

toBuilder

public ContinuousParameterRange.Builder toBuilder()

Specified by:

toBuilder in interface ToCopyableBuilder<ContinuousParameterRange.Builder,ContinuousParameterRange>

builder

public static ContinuousParameterRange.Builder builder()

serializableBuilderClass

public static Class<? extends ContinuousParameterRange.Builder> serializableBuilderClass()

hashCode

public int hashCode()

Overrides:

hashCode in class Object

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

equalsBySdkFields

public boolean equalsBySdkFields(Object obj)

Specified by:

equalsBySdkFields in interface SdkPojo

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

getValueForField

public <T> Optional<T> getValueForField(String fieldName,
                                        Class<T> clazz)

sdkFields

public List<SdkField<?>> sdkFields()

Specified by:

sdkFields in interface SdkPojo