java.lang.Object
- software.amazon.awssdk.core.SdkRequest
- - software.amazon.awssdk.awscore.AwsRequest
  - - software.amazon.awssdk.services.sagemaker.model.SageMakerRequest
    - - software.amazon.awssdk.services.sagemaker.model.CreateHyperParameterTuningJobRequest

All Implemented Interfaces:: SdkPojo, ToCopyableBuilder<CreateHyperParameterTuningJobRequest.Builder,CreateHyperParameterTuningJobRequest>

@Generated("software.amazon.awssdk:codegen")
public final class CreateHyperParameterTuningJobRequest
extends SageMakerRequest
implements ToCopyableBuilder<CreateHyperParameterTuningJobRequest.Builder,CreateHyperParameterTuningJobRequest>

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static interface CreateHyperParameterTuningJobRequest.Builder

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`Autotune`	`autotune()`	Configures SageMaker Automatic model tuning (AMT) to automatically find optimal parameters for the following fields:
`static CreateHyperParameterTuningJobRequest.Builder`	`builder()`
`boolean`	`equals(Object obj)`
`boolean`	`equalsBySdkFields(Object obj)`
`<T> Optional<T>`	`getValueForField(String fieldName, Class<T> clazz)`
`int`	`hashCode()`
`boolean`	`hasTags()`	For responses, this returns true if the service returned a value for the Tags property.
`boolean`	`hasTrainingJobDefinitions()`	For responses, this returns true if the service returned a value for the TrainingJobDefinitions property.
`HyperParameterTuningJobConfig`	`hyperParameterTuningJobConfig()`	The HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the tuning job.
`String`	`hyperParameterTuningJobName()`	The name of the tuning job.
`Map<String,SdkField<?>>`	`sdkFieldNameToField()`
`List<SdkField<?>>`	`sdkFields()`
`static Class<? extends CreateHyperParameterTuningJobRequest.Builder>`	`serializableBuilderClass()`
`List<Tag>`	`tags()`	An array of key-value pairs.
`CreateHyperParameterTuningJobRequest.Builder`	`toBuilder()`
`String`	`toString()`	Returns a string representation of this object.
`HyperParameterTrainingJobDefinition`	`trainingJobDefinition()`	The HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job launches, including static hyperparameters, input data configuration, output data configuration, resource configuration, and stopping condition.
`List<HyperParameterTrainingJobDefinition>`	`trainingJobDefinitions()`	A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
`HyperParameterTuningJobWarmStartConfig`	`warmStartConfig()`	Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as a starting point.

Methods inherited from class software.amazon.awssdk.awscore.AwsRequest
overrideConfiguration

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
  - hyperParameterTuningJobName
```
public final String hyperParameterTuningJobName()
```
    The name of the tuning job. This name is the prefix for the names of all training jobs that this tuning job launches. The name must be unique within the same Amazon Web Services account and Amazon Web Services Region. The name must have 1 to 32 characters. Valid characters are a-z, A-Z, 0-9, and : + = @ _ % - (hyphen). The name is not case sensitive.
    
    Returns:
    
    The name of the tuning job. This name is the prefix for the names of all training jobs that this tuning job launches. The name must be unique within the same Amazon Web Services account and Amazon Web Services Region. The name must have 1 to 32 characters. Valid characters are a-z, A-Z, 0-9, and : + = @ _ % - (hyphen). The name is not case sensitive.
  - hyperParameterTuningJobConfig
```
public final HyperParameterTuningJobConfig hyperParameterTuningJobConfig()
```
    The HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the tuning job. For more information, see How Hyperparameter Tuning Works.
    
    Returns:
    
    The HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the tuning job. For more information, see How Hyperparameter Tuning Works.
  - trainingJobDefinition
```
public final HyperParameterTrainingJobDefinition trainingJobDefinition()
```
    The HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job launches, including static hyperparameters, input data configuration, output data configuration, resource configuration, and stopping condition.
    
    Returns:
    
    The HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job launches, including static hyperparameters, input data configuration, output data configuration, resource configuration, and stopping condition.
  - hasTrainingJobDefinitions
```
public final boolean hasTrainingJobDefinitions()
```
    For responses, this returns true if the service returned a value for the TrainingJobDefinitions property. This DOES NOT check that the value is non-empty (for which, you should check the isEmpty() method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified.
  - trainingJobDefinitions
```
public final List<HyperParameterTrainingJobDefinition> trainingJobDefinitions()
```
    A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
    
    Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
    
    This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the hasTrainingJobDefinitions() method.
    
    Returns:
    
    A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.
  - warmStartConfig
```
public final HyperParameterTuningJobWarmStartConfig warmStartConfig()
```
    Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
    
    All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric. If you specify IDENTICAL_DATA_AND_ALGORITHM as the WarmStartType value for the warm start configuration, the training job that performs the best in the new tuning job is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.
    
    All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.
    
    Returns:
    
    Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
    
    All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric. If you specify IDENTICAL_DATA_AND_ALGORITHM as the WarmStartType value for the warm start configuration, the training job that performs the best in the new tuning job is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.
    
    All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.
  - hasTags
```
public final boolean hasTags()
```
    For responses, this returns true if the service returned a value for the Tags property. This DOES NOT check that the value is non-empty (for which, you should check the isEmpty() method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified.
  - tags
```
public final List<Tag> tags()
```
    An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
    
    Tags that you specify for the tuning job are also added to all training jobs that the tuning job launches.
    
    Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
    
    This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the hasTags() method.
    
    Returns:
    
    An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
    
    Tags that you specify for the tuning job are also added to all training jobs that the tuning job launches.
  - autotune
```
public final Autotune autotune()
```
    Configures SageMaker Automatic model tuning (AMT) to automatically find optimal parameters for the following fields:
    
    ParameterRanges: The names and ranges of parameters that a hyperparameter tuning job can optimize.
    
    ResourceLimits: The maximum resources that can be used for a training job. These resources include the maximum number of training jobs, the maximum runtime of a tuning job, and the maximum number of training jobs to run at the same time.
    
    TrainingJobEarlyStoppingType: A flag that specifies whether or not to use early stopping for training jobs launched by a hyperparameter tuning job.
    
    RetryStrategy: The number of times to retry a training job.
    
    Strategy: Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training jobs that it launches.
    
    ConvergenceDetected: A flag to indicate that Automatic model tuning (AMT) has detected model convergence.
    Returns:
    
    Configures SageMaker Automatic model tuning (AMT) to automatically find optimal parameters for the following fields:
    
    ParameterRanges: The names and ranges of parameters that a hyperparameter tuning job can optimize.
    
    ResourceLimits : The maximum resources that can be used for a training job. These resources include the maximum number of training jobs, the maximum runtime of a tuning job, and the maximum number of training jobs to run at the same time.
    
    TrainingJobEarlyStoppingType: A flag that specifies whether or not to use early stopping for training jobs launched by a hyperparameter tuning job.
    
    RetryStrategy: The number of times to retry a training job.
    
    Strategy: Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training jobs that it launches.
    
    ConvergenceDetected: A flag to indicate that Automatic model tuning (AMT) has detected model convergence.
  - toBuilder
```
public CreateHyperParameterTuningJobRequest.Builder toBuilder()
```
    Specified by:
    
    toBuilder in interface ToCopyableBuilder<CreateHyperParameterTuningJobRequest.Builder,CreateHyperParameterTuningJobRequest>
    
    Specified by:
    
    toBuilder in class SageMakerRequest
  - builder
```
public static CreateHyperParameterTuningJobRequest.Builder builder()
```
  - serializableBuilderClass
```
public static Class<? extends CreateHyperParameterTuningJobRequest.Builder> serializableBuilderClass()
```
  - hashCode
```
public final int hashCode()
```
    Overrides:
    
    hashCode in class AwsRequest
  - equals
```
public final boolean equals(Object obj)
```
    Overrides:
    
    equals in class AwsRequest
  - equalsBySdkFields
```
public final boolean equalsBySdkFields(Object obj)
```
    Specified by:
    
    equalsBySdkFields in interface SdkPojo
  - toString
```
public final 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 final <T> Optional<T> getValueForField(String fieldName,
                                              Class<T> clazz)
```
    Overrides:
    
    getValueForField in class SdkRequest
  - sdkFields
```
public final List<SdkField<?>> sdkFields()
```
    Specified by:
    
    sdkFields in interface SdkPojo
  - sdkFieldNameToField
```
public final Map<String,SdkField<?>> sdkFieldNameToField()
```
    Specified by:
    
    sdkFieldNameToField in interface SdkPojo

Class CreateHyperParameterTuningJobRequest

Nested Class Summary

Method Summary

Methods inherited from class software.amazon.awssdk.awscore.AwsRequest

Methods inherited from class java.lang.Object

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

Method Detail

hyperParameterTuningJobName

hyperParameterTuningJobConfig

trainingJobDefinition

hasTrainingJobDefinitions

trainingJobDefinitions

warmStartConfig

hasTags

tags

autotune

toBuilder

builder

serializableBuilderClass

hashCode

equals

equalsBySdkFields

toString

getValueForField

sdkFields

sdkFieldNameToField