com.amazonaws.services.sagemaker.model

Class CreateAlgorithmRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.sagemaker.model.CreateAlgorithmRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

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

Method Summary

Modifier and Type	Method and Description
CreateAlgorithmRequest	clone() Creates a shallow clone of this object for all fields except the handler context.
boolean	equals(Object obj)
String	getAlgorithmDescription() A description of the algorithm.
String	getAlgorithmName() The name of the algorithm.
Boolean	getCertifyForMarketplace() Whether to certify the algorithm so that it can be listed in AWS Marketplace.
InferenceSpecification	getInferenceSpecification() Specifies details about inference jobs that the algorithm runs, including the following:
TrainingSpecification	getTrainingSpecification() Specifies details about training jobs run by this algorithm, including the following:
AlgorithmValidationSpecification	getValidationSpecification() Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.
int	hashCode()
Boolean	isCertifyForMarketplace() Whether to certify the algorithm so that it can be listed in AWS Marketplace.
void	setAlgorithmDescription(String algorithmDescription) A description of the algorithm.
void	setAlgorithmName(String algorithmName) The name of the algorithm.
void	setCertifyForMarketplace(Boolean certifyForMarketplace) Whether to certify the algorithm so that it can be listed in AWS Marketplace.
void	setInferenceSpecification(InferenceSpecification inferenceSpecification) Specifies details about inference jobs that the algorithm runs, including the following:
void	setTrainingSpecification(TrainingSpecification trainingSpecification) Specifies details about training jobs run by this algorithm, including the following:
void	setValidationSpecification(AlgorithmValidationSpecification validationSpecification) Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.
String	toString() Returns a string representation of this object.
CreateAlgorithmRequest	withAlgorithmDescription(String algorithmDescription) A description of the algorithm.
CreateAlgorithmRequest	withAlgorithmName(String algorithmName) The name of the algorithm.
CreateAlgorithmRequest	withCertifyForMarketplace(Boolean certifyForMarketplace) Whether to certify the algorithm so that it can be listed in AWS Marketplace.
CreateAlgorithmRequest	withInferenceSpecification(InferenceSpecification inferenceSpecification) Specifies details about inference jobs that the algorithm runs, including the following:
CreateAlgorithmRequest	withTrainingSpecification(TrainingSpecification trainingSpecification) Specifies details about training jobs run by this algorithm, including the following:
CreateAlgorithmRequest	withValidationSpecification(AlgorithmValidationSpecification validationSpecification) Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.

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

CreateAlgorithmRequest

public CreateAlgorithmRequest()

Method Detail

setAlgorithmName

public void setAlgorithmName(String algorithmName)

The name of the algorithm.

Parameters:

algorithmName - The name of the algorithm.

getAlgorithmName

public String getAlgorithmName()

The name of the algorithm.

Returns:

The name of the algorithm.

withAlgorithmName

public CreateAlgorithmRequest withAlgorithmName(String algorithmName)

The name of the algorithm.

Parameters:

algorithmName - The name of the algorithm.

Returns:

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

setAlgorithmDescription

public void setAlgorithmDescription(String algorithmDescription)

A description of the algorithm.

Parameters:

algorithmDescription - A description of the algorithm.

getAlgorithmDescription

public String getAlgorithmDescription()

A description of the algorithm.

Returns:

A description of the algorithm.

withAlgorithmDescription

public CreateAlgorithmRequest withAlgorithmDescription(String algorithmDescription)

A description of the algorithm.

Parameters:

algorithmDescription - A description of the algorithm.

Returns:

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

setTrainingSpecification

public void setTrainingSpecification(TrainingSpecification trainingSpecification)

Specifies details about training jobs run by this algorithm, including the following:

• The Amazon ECR path of the container and the version digest of the algorithm.

• The hyperparameters that the algorithm supports.

• The instance types that the algorithm supports for training.

• Whether the algorithm supports distributed training.

• The metrics that the algorithm emits to Amazon CloudWatch.

• Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.

• The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.

Parameters:

trainingSpecification - Specifies details about training jobs run by this algorithm, including the following:

• The Amazon ECR path of the container and the version digest of the algorithm.

• The hyperparameters that the algorithm supports.

• The instance types that the algorithm supports for training.

• Whether the algorithm supports distributed training.

• The metrics that the algorithm emits to Amazon CloudWatch.

• Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.

• The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.

getTrainingSpecification

public TrainingSpecification getTrainingSpecification()

Specifies details about training jobs run by this algorithm, including the following:

• The Amazon ECR path of the container and the version digest of the algorithm.

• The hyperparameters that the algorithm supports.

• The instance types that the algorithm supports for training.

• Whether the algorithm supports distributed training.

• The metrics that the algorithm emits to Amazon CloudWatch.

• Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.

• The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.

Returns:

Specifies details about training jobs run by this algorithm, including the following:

• The Amazon ECR path of the container and the version digest of the algorithm.

• The hyperparameters that the algorithm supports.

• The instance types that the algorithm supports for training.

• Whether the algorithm supports distributed training.

• The metrics that the algorithm emits to Amazon CloudWatch.

• Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.

• The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.

withTrainingSpecification

public CreateAlgorithmRequest withTrainingSpecification(TrainingSpecification trainingSpecification)

Specifies details about training jobs run by this algorithm, including the following:

• The Amazon ECR path of the container and the version digest of the algorithm.

• The hyperparameters that the algorithm supports.

• The instance types that the algorithm supports for training.

• Whether the algorithm supports distributed training.

• The metrics that the algorithm emits to Amazon CloudWatch.

• Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.

• The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.

Parameters:

trainingSpecification - Specifies details about training jobs run by this algorithm, including the following:

• The Amazon ECR path of the container and the version digest of the algorithm.

• The hyperparameters that the algorithm supports.

• The instance types that the algorithm supports for training.

• Whether the algorithm supports distributed training.

• The metrics that the algorithm emits to Amazon CloudWatch.

• Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.

• The input channels that the algorithm supports for training data. For example, an algorithm might support train, validation, and test channels.

Returns:

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

setInferenceSpecification

public void setInferenceSpecification(InferenceSpecification inferenceSpecification)

Specifies details about inference jobs that the algorithm runs, including the following:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.

• The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.

• The input and output content formats that the algorithm supports for inference.

Parameters:

inferenceSpecification - Specifies details about inference jobs that the algorithm runs, including the following:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.

• The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.

• The input and output content formats that the algorithm supports for inference.

getInferenceSpecification

public InferenceSpecification getInferenceSpecification()

Specifies details about inference jobs that the algorithm runs, including the following:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.

• The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.

• The input and output content formats that the algorithm supports for inference.

Returns:

Specifies details about inference jobs that the algorithm runs, including the following:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.

• The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.

• The input and output content formats that the algorithm supports for inference.

withInferenceSpecification

public CreateAlgorithmRequest withInferenceSpecification(InferenceSpecification inferenceSpecification)

Specifies details about inference jobs that the algorithm runs, including the following:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.

• The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.

• The input and output content formats that the algorithm supports for inference.

Parameters:

inferenceSpecification - Specifies details about inference jobs that the algorithm runs, including the following:

• The Amazon ECR paths of containers that contain the inference code and model artifacts.

• The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.

• The input and output content formats that the algorithm supports for inference.

Returns:

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

setValidationSpecification

public void setValidationSpecification(AlgorithmValidationSpecification validationSpecification)

Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.

Parameters:

validationSpecification - Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.

getValidationSpecification

public AlgorithmValidationSpecification getValidationSpecification()

Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.

Returns:

Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.

withValidationSpecification

public CreateAlgorithmRequest withValidationSpecification(AlgorithmValidationSpecification validationSpecification)

Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.

Parameters:

validationSpecification - Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.

Returns:

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

setCertifyForMarketplace

public void setCertifyForMarketplace(Boolean certifyForMarketplace)

Whether to certify the algorithm so that it can be listed in AWS Marketplace.

Parameters:

certifyForMarketplace - Whether to certify the algorithm so that it can be listed in AWS Marketplace.

getCertifyForMarketplace

public Boolean getCertifyForMarketplace()

Whether to certify the algorithm so that it can be listed in AWS Marketplace.

Returns:

Whether to certify the algorithm so that it can be listed in AWS Marketplace.

withCertifyForMarketplace

public CreateAlgorithmRequest withCertifyForMarketplace(Boolean certifyForMarketplace)

Whether to certify the algorithm so that it can be listed in AWS Marketplace.

Parameters:

certifyForMarketplace - Whether to certify the algorithm so that it can be listed in AWS Marketplace.

Returns:

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

isCertifyForMarketplace

public Boolean isCertifyForMarketplace()

Whether to certify the algorithm so that it can be listed in AWS Marketplace.

Returns:

Whether to certify the algorithm so that it can be listed in AWS Marketplace.

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 CreateAlgorithmRequest 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()