Class SageMakerCreateTrainingJobProps.Builder
java.lang.Object
software.amazon.awscdk.services.stepfunctions.tasks.SageMakerCreateTrainingJobProps.Builder
- All Implemented Interfaces:
software.amazon.jsii.Builder<SageMakerCreateTrainingJobProps>
- Enclosing interface:
SageMakerCreateTrainingJobProps
@Stability(Stable)
public static final class SageMakerCreateTrainingJobProps.Builder
extends Object
implements software.amazon.jsii.Builder<SageMakerCreateTrainingJobProps>
A builder for
SageMakerCreateTrainingJobProps
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionalgorithmSpecification
(AlgorithmSpecification algorithmSpecification) Sets the value ofSageMakerCreateTrainingJobProps.getAlgorithmSpecification()
Sets the value ofAssignableStateOptions.getAssign()
build()
Builds the configured instance.Sets the value ofStateBaseProps.getComment()
credentials
(Credentials credentials) Sets the value ofTaskStateBaseOptions.getCredentials()
enableNetworkIsolation
(Boolean enableNetworkIsolation) Sets the value ofSageMakerCreateTrainingJobProps.getEnableNetworkIsolation()
environment
(Map<String, String> environment) Sets the value ofSageMakerCreateTrainingJobProps.getEnvironment()
Deprecated.use `heartbeatTimeout`heartbeatTimeout
(Timeout heartbeatTimeout) Sets the value ofTaskStateBaseOptions.getHeartbeatTimeout()
hyperparameters
(Map<String, ? extends Object> hyperparameters) Sets the value ofSageMakerCreateTrainingJobProps.getHyperparameters()
inputDataConfig
(List<? extends Channel> inputDataConfig) Sets the value ofSageMakerCreateTrainingJobProps.getInputDataConfig()
Sets the value ofJsonPathCommonOptions.getInputPath()
integrationPattern
(IntegrationPattern integrationPattern) Sets the value ofTaskStateBaseOptions.getIntegrationPattern()
outputDataConfig
(OutputDataConfig outputDataConfig) Sets the value ofSageMakerCreateTrainingJobProps.getOutputDataConfig()
outputPath
(String outputPath) Sets the value ofJsonPathCommonOptions.getOutputPath()
Sets the value ofJsonataCommonOptions.getOutputs()
queryLanguage
(QueryLanguage queryLanguage) Sets the value ofStateBaseProps.getQueryLanguage()
resourceConfig
(ResourceConfig resourceConfig) Sets the value ofSageMakerCreateTrainingJobProps.getResourceConfig()
resultPath
(String resultPath) Sets the value ofTaskStateBaseProps.getResultPath()
resultSelector
(Map<String, ? extends Object> resultSelector) Sets the value ofTaskStateBaseProps.getResultSelector()
Sets the value ofSageMakerCreateTrainingJobProps.getRole()
Sets the value ofStateBaseProps.getStateName()
stoppingCondition
(StoppingCondition stoppingCondition) Sets the value ofSageMakerCreateTrainingJobProps.getStoppingCondition()
Sets the value ofSageMakerCreateTrainingJobProps.getTags()
taskTimeout
(Timeout taskTimeout) Sets the value ofTaskStateBaseOptions.getTaskTimeout()
Deprecated.use `taskTimeout`trainingJobName
(String trainingJobName) Sets the value ofSageMakerCreateTrainingJobProps.getTrainingJobName()
Sets the value ofSageMakerCreateTrainingJobProps.getVpcConfig()
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Constructor Details
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Builder
public Builder()
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Method Details
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algorithmSpecification
@Stability(Stable) public SageMakerCreateTrainingJobProps.Builder algorithmSpecification(AlgorithmSpecification algorithmSpecification) Sets the value ofSageMakerCreateTrainingJobProps.getAlgorithmSpecification()
- Parameters:
algorithmSpecification
- Identifies the training algorithm to use. This parameter is required.- Returns:
this
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outputDataConfig
@Stability(Stable) public SageMakerCreateTrainingJobProps.Builder outputDataConfig(OutputDataConfig outputDataConfig) Sets the value ofSageMakerCreateTrainingJobProps.getOutputDataConfig()
- Parameters:
outputDataConfig
- Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training. This parameter is required.- Returns:
this
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trainingJobName
@Stability(Stable) public SageMakerCreateTrainingJobProps.Builder trainingJobName(String trainingJobName) Sets the value ofSageMakerCreateTrainingJobProps.getTrainingJobName()
- Parameters:
trainingJobName
- Training Job Name. This parameter is required.- Returns:
this
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enableNetworkIsolation
@Stability(Stable) public SageMakerCreateTrainingJobProps.Builder enableNetworkIsolation(Boolean enableNetworkIsolation) Sets the value ofSageMakerCreateTrainingJobProps.getEnableNetworkIsolation()
- Parameters:
enableNetworkIsolation
- Isolates the training container. No inbound or outbound network calls can be made to or from the training container.- Returns:
this
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environment
@Stability(Stable) public SageMakerCreateTrainingJobProps.Builder environment(Map<String, String> environment) Sets the value ofSageMakerCreateTrainingJobProps.getEnvironment()
- Parameters:
environment
- Environment variables to set in the Docker container.- Returns:
this
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hyperparameters
@Stability(Stable) public SageMakerCreateTrainingJobProps.Builder hyperparameters(Map<String, ? extends Object> hyperparameters) Sets the value ofSageMakerCreateTrainingJobProps.getHyperparameters()
- Parameters:
hyperparameters
- Algorithm-specific parameters that influence the quality of the model. Set hyperparameters before you start the learning process. For a list of hyperparameters provided by Amazon SageMaker- Returns:
this
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inputDataConfig
@Stability(Stable) public SageMakerCreateTrainingJobProps.Builder inputDataConfig(List<? extends Channel> inputDataConfig) Sets the value ofSageMakerCreateTrainingJobProps.getInputDataConfig()
- Parameters:
inputDataConfig
- Describes the various datasets (e.g. train, validation, test) and the Amazon S3 location where stored.- Returns:
this
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resourceConfig
@Stability(Stable) public SageMakerCreateTrainingJobProps.Builder resourceConfig(ResourceConfig resourceConfig) Sets the value ofSageMakerCreateTrainingJobProps.getResourceConfig()
- Parameters:
resourceConfig
- Specifies the resources, ML compute instances, and ML storage volumes to deploy for model training.- Returns:
this
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role
Sets the value ofSageMakerCreateTrainingJobProps.getRole()
- Parameters:
role
- Role for the Training Job. The role must be granted all necessary permissions for the SageMaker training job to be able to operate.See https://docs.aws.amazon.com/fr_fr/sagemaker/latest/dg/sagemaker-roles.html#sagemaker-roles-createtrainingjob-perms
- Returns:
this
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stoppingCondition
@Stability(Stable) public SageMakerCreateTrainingJobProps.Builder stoppingCondition(StoppingCondition stoppingCondition) Sets the value ofSageMakerCreateTrainingJobProps.getStoppingCondition()
- Parameters:
stoppingCondition
- Sets a time limit for training.- Returns:
this
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tags
Sets the value ofSageMakerCreateTrainingJobProps.getTags()
- Parameters:
tags
- Tags to be applied to the train job.- Returns:
this
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vpcConfig
Sets the value ofSageMakerCreateTrainingJobProps.getVpcConfig()
- Parameters:
vpcConfig
- Specifies the VPC that you want your training job to connect to.- Returns:
this
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resultPath
Sets the value ofTaskStateBaseProps.getResultPath()
- Parameters:
resultPath
- JSONPath expression to indicate where to inject the state's output. May also be the special value JsonPath.DISCARD, which will cause the state's input to become its output.- Returns:
this
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resultSelector
@Stability(Stable) public SageMakerCreateTrainingJobProps.Builder resultSelector(Map<String, ? extends Object> resultSelector) Sets the value ofTaskStateBaseProps.getResultSelector()
- Parameters:
resultSelector
- The JSON that will replace the state's raw result and become the effective result before ResultPath is applied. You can use ResultSelector to create a payload with values that are static or selected from the state's raw result.- Returns:
this
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comment
Sets the value ofStateBaseProps.getComment()
- Parameters:
comment
- A comment describing this state.- Returns:
this
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queryLanguage
@Stability(Stable) public SageMakerCreateTrainingJobProps.Builder queryLanguage(QueryLanguage queryLanguage) Sets the value ofStateBaseProps.getQueryLanguage()
- Parameters:
queryLanguage
- The name of the query language used by the state. If the state does not contain aqueryLanguage
field, then it will use the query language specified in the top-levelqueryLanguage
field.- Returns:
this
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stateName
Sets the value ofStateBaseProps.getStateName()
- Parameters:
stateName
- Optional name for this state.- Returns:
this
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credentials
@Stability(Stable) public SageMakerCreateTrainingJobProps.Builder credentials(Credentials credentials) Sets the value ofTaskStateBaseOptions.getCredentials()
- Parameters:
credentials
- Credentials for an IAM Role that the State Machine assumes for executing the task. This enables cross-account resource invocations.- Returns:
this
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heartbeat
@Stability(Deprecated) @Deprecated public SageMakerCreateTrainingJobProps.Builder heartbeat(Duration heartbeat) Deprecated.use `heartbeatTimeout`Sets the value ofTaskStateBaseOptions.getHeartbeat()
- Parameters:
heartbeat
- Timeout for the heartbeat.- Returns:
this
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heartbeatTimeout
@Stability(Stable) public SageMakerCreateTrainingJobProps.Builder heartbeatTimeout(Timeout heartbeatTimeout) Sets the value ofTaskStateBaseOptions.getHeartbeatTimeout()
- Parameters:
heartbeatTimeout
- Timeout for the heartbeat. [disable-awslint:duration-prop-type] is needed because all props interface in aws-stepfunctions-tasks extend this interface- Returns:
this
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integrationPattern
@Stability(Stable) public SageMakerCreateTrainingJobProps.Builder integrationPattern(IntegrationPattern integrationPattern) Sets the value ofTaskStateBaseOptions.getIntegrationPattern()
- Parameters:
integrationPattern
- AWS Step Functions integrates with services directly in the Amazon States Language. You can control these AWS services using service integration patterns.Depending on the AWS Service, the Service Integration Pattern availability will vary.
- Returns:
this
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taskTimeout
Sets the value ofTaskStateBaseOptions.getTaskTimeout()
- Parameters:
taskTimeout
- Timeout for the task. [disable-awslint:duration-prop-type] is needed because all props interface in aws-stepfunctions-tasks extend this interface- Returns:
this
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timeout
@Stability(Deprecated) @Deprecated public SageMakerCreateTrainingJobProps.Builder timeout(Duration timeout) Deprecated.use `taskTimeout`Sets the value ofTaskStateBaseOptions.getTimeout()
- Parameters:
timeout
- Timeout for the task.- Returns:
this
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assign
@Stability(Stable) public SageMakerCreateTrainingJobProps.Builder assign(Map<String, ? extends Object> assign) Sets the value ofAssignableStateOptions.getAssign()
- Parameters:
assign
- Workflow variables to store in this step. Using workflow variables, you can store data in a step and retrieve that data in future steps.- Returns:
this
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inputPath
Sets the value ofJsonPathCommonOptions.getInputPath()
- Parameters:
inputPath
- JSONPath expression to select part of the state to be the input to this state. May also be the special value JsonPath.DISCARD, which will cause the effective input to be the empty object {}.- Returns:
this
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outputPath
Sets the value ofJsonPathCommonOptions.getOutputPath()
- Parameters:
outputPath
- JSONPath expression to select part of the state to be the output to this state. May also be the special value JsonPath.DISCARD, which will cause the effective output to be the empty object {}.- Returns:
this
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outputs
Sets the value ofJsonataCommonOptions.getOutputs()
- Parameters:
outputs
- Used to specify and transform output from the state. When specified, the value overrides the state output default. The output field accepts any JSON value (object, array, string, number, boolean, null). Any string value, including those inside objects or arrays, will be evaluated as JSONata if surrounded by {% %} characters. Output also accepts a JSONata expression directly.- Returns:
this
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build
Builds the configured instance.- Specified by:
build
in interfacesoftware.amazon.jsii.Builder<SageMakerCreateTrainingJobProps>
- Returns:
- a new instance of
SageMakerCreateTrainingJobProps
- Throws:
NullPointerException
- if any required attribute was not provided
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