All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class UpdateInferenceExperimentRequest
extends AmazonWebServiceRequest
implements Serializable, Cloneable 

See Also:

AWS API Documentation, Serialized Form

• Field Summary

  • Fields inherited from class com.amazonaws.AmazonWebServiceRequest

    NOOP

• Constructor Summary

  Constructors

  Constructor and Description
  UpdateInferenceExperimentRequest ()

• Method Summary

  All Methods

  Modifier and Type	Method and Description
  UpdateInferenceExperimentRequest	clone () Creates a shallow clone of this object for all fields except the handler context.
  boolean	equals (Object obj)
  InferenceExperimentDataStorageConfig	getDataStorageConfig () The Amazon S3 location and configuration for storing inference request and response data.
  String	getDescription () The description of the inference experiment.
  List<ModelVariantConfig>	getModelVariants () An array of ModelVariantConfig objects.
  String	getName () The name of the inference experiment to be updated.
  InferenceExperimentSchedule	getSchedule () The duration for which the inference experiment will run.
  ShadowModeConfig	getShadowModeConfig () The configuration of ShadowMode inference experiment type.
  int	hashCode ()
  void	setDataStorageConfig (InferenceExperimentDataStorageConfig dataStorageConfig) The Amazon S3 location and configuration for storing inference request and response data.
  void	setDescription (String description) The description of the inference experiment.
  void	setModelVariants (Collection<ModelVariantConfig> modelVariants) An array of ModelVariantConfig objects.
  void	setName (String name) The name of the inference experiment to be updated.
  void	setSchedule (InferenceExperimentSchedule schedule) The duration for which the inference experiment will run.
  void	setShadowModeConfig (ShadowModeConfig shadowModeConfig) The configuration of ShadowMode inference experiment type.
  String	toString () Returns a string representation of this object.
  UpdateInferenceExperimentRequest	withDataStorageConfig (InferenceExperimentDataStorageConfig dataStorageConfig) The Amazon S3 location and configuration for storing inference request and response data.
  UpdateInferenceExperimentRequest	withDescription (String description) The description of the inference experiment.
  UpdateInferenceExperimentRequest	withModelVariants (Collection<ModelVariantConfig> modelVariants) An array of ModelVariantConfig objects.
  UpdateInferenceExperimentRequest	withModelVariants (ModelVariantConfig... modelVariants) An array of ModelVariantConfig objects.
  UpdateInferenceExperimentRequest	withName (String name) The name of the inference experiment to be updated.
  UpdateInferenceExperimentRequest	withSchedule (InferenceExperimentSchedule schedule) The duration for which the inference experiment will run.
  UpdateInferenceExperimentRequest	withShadowModeConfig (ShadowModeConfig shadowModeConfig) The configuration of ShadowMode inference experiment type.

  • Methods inherited from class com.amazonaws.AmazonWebServiceRequest

    addHandlerContext, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout

  • Methods inherited from class java.lang.Object

    getClass, notify, notifyAll, wait, wait, wait

• Constructor Detail

  • UpdateInferenceExperimentRequest

    public UpdateInferenceExperimentRequest()

• Method Detail

  • setName

    public void setName(String name)

    The name of the inference experiment to be updated.

    Parameters:

    name - The name of the inference experiment to be updated.

  • getName

    public String getName()

    The name of the inference experiment to be updated.

    Returns:

    The name of the inference experiment to be updated.

  • withName

    public UpdateInferenceExperimentRequest withName(String name)

    The name of the inference experiment to be updated.

    Parameters:

    name - The name of the inference experiment to be updated.

    Returns:

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

  • setSchedule

    public void setSchedule(InferenceExperimentSchedule schedule)

    The duration for which the inference experiment will run. If the status of the inference experiment is Created, then you can update both the start and end dates. If the status of the inference experiment is Running, then you can update only the end date.

    Parameters:

    schedule - The duration for which the inference experiment will run. If the status of the inference experiment is Created, then you can update both the start and end dates. If the status of the inference experiment is Running, then you can update only the end date.

  • getSchedule

    public InferenceExperimentSchedule getSchedule()

    The duration for which the inference experiment will run. If the status of the inference experiment is Created, then you can update both the start and end dates. If the status of the inference experiment is Running, then you can update only the end date.

    Returns:

    The duration for which the inference experiment will run. If the status of the inference experiment is Created, then you can update both the start and end dates. If the status of the inference experiment is Running, then you can update only the end date.

  • withSchedule

    public UpdateInferenceExperimentRequest withSchedule(InferenceExperimentSchedule schedule)

    The duration for which the inference experiment will run. If the status of the inference experiment is Created, then you can update both the start and end dates. If the status of the inference experiment is Running, then you can update only the end date.

    Parameters:

    schedule - The duration for which the inference experiment will run. If the status of the inference experiment is Created, then you can update both the start and end dates. If the status of the inference experiment is Running, then you can update only the end date.

    Returns:

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

  • setDescription

    public void setDescription(String description)

    The description of the inference experiment.

    Parameters:

    description - The description of the inference experiment.

  • getDescription

    public String getDescription()

    The description of the inference experiment.

    Returns:

    The description of the inference experiment.

  • withDescription

    public UpdateInferenceExperimentRequest withDescription(String description)

    The description of the inference experiment.

    Parameters:

    description - The description of the inference experiment.

    Returns:

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

  • getModelVariants

    public List<ModelVariantConfig> getModelVariants()

    An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.

    Returns:

    An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.

  • setModelVariants

    public void setModelVariants(Collection<ModelVariantConfig> modelVariants)

    An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.

    Parameters:

    modelVariants - An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.

  • withModelVariants

    public UpdateInferenceExperimentRequest withModelVariants(ModelVariantConfig... modelVariants)

    An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.

    NOTE: This method appends the values to the existing list (if any). Use setModelVariants(java.util.Collection) or withModelVariants(java.util.Collection) if you want to override the existing values.

    Parameters:

    modelVariants - An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.

    Returns:

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

  • withModelVariants

    public UpdateInferenceExperimentRequest withModelVariants(Collection<ModelVariantConfig> modelVariants)

    An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.

    Parameters:

    modelVariants - An array of ModelVariantConfig objects. There is one for each variant, whose infrastructure configuration you want to update.

    Returns:

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

  • setDataStorageConfig

    public void setDataStorageConfig(InferenceExperimentDataStorageConfig dataStorageConfig)

    The Amazon S3 location and configuration for storing inference request and response data.

    Parameters:

    dataStorageConfig - The Amazon S3 location and configuration for storing inference request and response data.

  • getDataStorageConfig

    public InferenceExperimentDataStorageConfig getDataStorageConfig()

    The Amazon S3 location and configuration for storing inference request and response data.

    Returns:

    The Amazon S3 location and configuration for storing inference request and response data.

  • withDataStorageConfig

    public UpdateInferenceExperimentRequest withDataStorageConfig(InferenceExperimentDataStorageConfig dataStorageConfig)

    The Amazon S3 location and configuration for storing inference request and response data.

    Parameters:

    dataStorageConfig - The Amazon S3 location and configuration for storing inference request and response data.

    Returns:

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

  • setShadowModeConfig

    public void setShadowModeConfig(ShadowModeConfig shadowModeConfig)

    The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.

    Parameters:

    shadowModeConfig - The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.

  • getShadowModeConfig

    public ShadowModeConfig getShadowModeConfig()

    The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.

    Returns:

    The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.

  • withShadowModeConfig

    public UpdateInferenceExperimentRequest withShadowModeConfig(ShadowModeConfig shadowModeConfig)

    The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.

    Parameters:

    shadowModeConfig - The configuration of ShadowMode inference experiment type. Use this field to specify a production variant which takes all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant also specify the percentage of requests that Amazon SageMaker replicates.

    Returns:

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

  • 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 UpdateInferenceExperimentRequest clone()

    Description copied from class: AmazonWebServiceRequest
    Creates a shallow clone of this object for all fields except the handler context. Explicitly does not clone the deep structure of the other fields in the message.

    Overrides:

    clone in class AmazonWebServiceRequest

    See Also:

    Object.clone()