com.amazonaws.services.sagemaker.model

Class CreateInferenceRecommendationsJobRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.sagemaker.model.CreateInferenceRecommendationsJobRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class CreateInferenceRecommendationsJobRequest
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
CreateInferenceRecommendationsJobRequest()

Method Summary

Modifier and Type	Method and Description
CreateInferenceRecommendationsJobRequest	clone() Creates a shallow clone of this object for all fields except the handler context.
boolean	equals(Object obj)
RecommendationJobInputConfig	getInputConfig() Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.
String	getJobDescription() Description of the recommendation job.
String	getJobName() A name for the recommendation job.
String	getJobType() Defines the type of recommendation job.
RecommendationJobOutputConfig	getOutputConfig() Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.
String	getRoleArn() The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
RecommendationJobStoppingConditions	getStoppingConditions() A set of conditions for stopping a recommendation job.
List<Tag>	getTags() The metadata that you apply to Amazon Web Services resources to help you categorize and organize them.
int	hashCode()
void	setInputConfig(RecommendationJobInputConfig inputConfig) Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.
void	setJobDescription(String jobDescription) Description of the recommendation job.
void	setJobName(String jobName) A name for the recommendation job.
void	setJobType(String jobType) Defines the type of recommendation job.
void	setOutputConfig(RecommendationJobOutputConfig outputConfig) Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.
void	setRoleArn(String roleArn) The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
void	setStoppingConditions(RecommendationJobStoppingConditions stoppingConditions) A set of conditions for stopping a recommendation job.
void	setTags(Collection<Tag> tags) The metadata that you apply to Amazon Web Services resources to help you categorize and organize them.
String	toString() Returns a string representation of this object.
CreateInferenceRecommendationsJobRequest	withInputConfig(RecommendationJobInputConfig inputConfig) Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.
CreateInferenceRecommendationsJobRequest	withJobDescription(String jobDescription) Description of the recommendation job.
CreateInferenceRecommendationsJobRequest	withJobName(String jobName) A name for the recommendation job.
CreateInferenceRecommendationsJobRequest	withJobType(RecommendationJobType jobType) Defines the type of recommendation job.
CreateInferenceRecommendationsJobRequest	withJobType(String jobType) Defines the type of recommendation job.
CreateInferenceRecommendationsJobRequest	withOutputConfig(RecommendationJobOutputConfig outputConfig) Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.
CreateInferenceRecommendationsJobRequest	withRoleArn(String roleArn) The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
CreateInferenceRecommendationsJobRequest	withStoppingConditions(RecommendationJobStoppingConditions stoppingConditions) A set of conditions for stopping a recommendation job.
CreateInferenceRecommendationsJobRequest	withTags(Collection<Tag> tags) The metadata that you apply to Amazon Web Services resources to help you categorize and organize them.
CreateInferenceRecommendationsJobRequest	withTags(Tag... tags) The metadata that you apply to Amazon Web Services resources to help you categorize and organize them.

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

CreateInferenceRecommendationsJobRequest

public CreateInferenceRecommendationsJobRequest()

Method Detail

setJobName

public void setJobName(String jobName)

A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account. The job name is passed down to the resources created by the recommendation job. The names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with the job name are truncated at 40 characters.

Parameters:

jobName - A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account. The job name is passed down to the resources created by the recommendation job. The names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with the job name are truncated at 40 characters.

getJobName

public String getJobName()

A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account. The job name is passed down to the resources created by the recommendation job. The names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with the job name are truncated at 40 characters.

Returns:

A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account. The job name is passed down to the resources created by the recommendation job. The names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with the job name are truncated at 40 characters.

withJobName

public CreateInferenceRecommendationsJobRequest withJobName(String jobName)

A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account. The job name is passed down to the resources created by the recommendation job. The names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with the job name are truncated at 40 characters.

Parameters:

jobName - A name for the recommendation job. The name must be unique within the Amazon Web Services Region and within your Amazon Web Services account. The job name is passed down to the resources created by the recommendation job. The names of resources (such as the model, endpoint configuration, endpoint, and compilation) that are prefixed with the job name are truncated at 40 characters.

Returns:

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

setJobType

public void setJobType(String jobType)

Defines the type of recommendation job. Specify Default to initiate an instance recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.

Parameters:

jobType - Defines the type of recommendation job. Specify Default to initiate an instance recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.

See Also:

RecommendationJobType

getJobType

public String getJobType()

Defines the type of recommendation job. Specify Default to initiate an instance recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.

Returns:

Defines the type of recommendation job. Specify Default to initiate an instance recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.

See Also:

RecommendationJobType

withJobType

public CreateInferenceRecommendationsJobRequest withJobType(String jobType)

Defines the type of recommendation job. Specify Default to initiate an instance recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.

Parameters:

jobType - Defines the type of recommendation job. Specify Default to initiate an instance recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.

Returns:

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

See Also:

RecommendationJobType

withJobType

public CreateInferenceRecommendationsJobRequest withJobType(RecommendationJobType jobType)

Defines the type of recommendation job. Specify Default to initiate an instance recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.

Parameters:

jobType - Defines the type of recommendation job. Specify Default to initiate an instance recommendation and Advanced to initiate a load test. If left unspecified, Amazon SageMaker Inference Recommender will run an instance recommendation (DEFAULT) job.

Returns:

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

See Also:

RecommendationJobType

setRoleArn

public void setRoleArn(String roleArn)

The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.

Parameters:

roleArn - The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.

getRoleArn

public String getRoleArn()

The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.

Returns:

The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.

withRoleArn

public CreateInferenceRecommendationsJobRequest withRoleArn(String roleArn)

The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.

Parameters:

roleArn - The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.

Returns:

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

setInputConfig

public void setInputConfig(RecommendationJobInputConfig inputConfig)

Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.

Parameters:

inputConfig - Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.

getInputConfig

public RecommendationJobInputConfig getInputConfig()

Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.

Returns:

Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.

withInputConfig

public CreateInferenceRecommendationsJobRequest withInputConfig(RecommendationJobInputConfig inputConfig)

Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.

Parameters:

inputConfig - Provides information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations.

Returns:

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

setJobDescription

public void setJobDescription(String jobDescription)

Description of the recommendation job.

Parameters:

jobDescription - Description of the recommendation job.

getJobDescription

public String getJobDescription()

Description of the recommendation job.

Returns:

Description of the recommendation job.

withJobDescription

public CreateInferenceRecommendationsJobRequest withJobDescription(String jobDescription)

Description of the recommendation job.

Parameters:

jobDescription - Description of the recommendation job.

Returns:

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

setStoppingConditions

public void setStoppingConditions(RecommendationJobStoppingConditions stoppingConditions)

A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically stopped.

Parameters:

stoppingConditions - A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically stopped.

getStoppingConditions

public RecommendationJobStoppingConditions getStoppingConditions()

A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically stopped.

Returns:

A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically stopped.

withStoppingConditions

public CreateInferenceRecommendationsJobRequest withStoppingConditions(RecommendationJobStoppingConditions stoppingConditions)

A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically stopped.

Parameters:

stoppingConditions - A set of conditions for stopping a recommendation job. If any of the conditions are met, the job is automatically stopped.

Returns:

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

setOutputConfig

public void setOutputConfig(RecommendationJobOutputConfig outputConfig)

Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.

Parameters:

outputConfig - Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.

getOutputConfig

public RecommendationJobOutputConfig getOutputConfig()

Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.

Returns:

Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.

withOutputConfig

public CreateInferenceRecommendationsJobRequest withOutputConfig(RecommendationJobOutputConfig outputConfig)

Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.

Parameters:

outputConfig - Provides information about the output artifacts and the KMS key to use for Amazon S3 server-side encryption.

Returns:

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

getTags

public List<Tag> getTags()

The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.

Returns:

The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.

setTags

public void setTags(Collection<Tag> tags)

The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.

Parameters:

tags - The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.

withTags

public CreateInferenceRecommendationsJobRequest withTags(Tag... tags)

The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.

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

Parameters:

tags - The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.

Returns:

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

withTags

public CreateInferenceRecommendationsJobRequest withTags(Collection<Tag> tags)

The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.

Parameters:

tags - The metadata that you apply to Amazon Web Services resources to help you categorize and organize them. Each tag consists of a key and a value, both of which you define. For more information, see Tagging Amazon Web Services Resources in the Amazon Web Services General Reference.

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 CreateInferenceRecommendationsJobRequest 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()