Class: AWSCDK::StepFunctionsTasks::SageMakerCreateTrainingJobProps

Inherits:
AWSCDK::StepFunctions::TaskStateBaseProps
  • Object
show all
Defined in:
step_functions_tasks/sage_maker_create_training_job_props.rb

Overview

Properties for creating an Amazon SageMaker training job.

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(comment: nil, query_language: nil, state_name: nil, credentials: nil, heartbeat: nil, heartbeat_timeout: nil, integration_pattern: nil, task_timeout: nil, timeout: nil, assign: nil, input_path: nil, output_path: nil, outputs: nil, result_path: nil, result_selector: nil, algorithm_specification:, output_data_config:, training_job_name:, enable_network_isolation: nil, environment: nil, hyperparameters: nil, input_data_config: nil, resource_config: nil, role: nil, stopping_condition: nil, tags: nil, vpc_config: nil) ⇒ SageMakerCreateTrainingJobProps

Returns a new instance of SageMakerCreateTrainingJobProps.

Parameters:

  • comment (String, nil) (defaults to: nil) —

    A comment describing this state.

  • query_language (AWSCDK::StepFunctions::QueryLanguage, nil) (defaults to: nil) —

    The name of the query language used by the state.

  • state_name (String, nil) (defaults to: nil) —

    Optional name for this state.

  • credentials (AWSCDK::StepFunctions::Credentials, nil) (defaults to: nil) —

    Credentials for an IAM Role that the State Machine assumes for executing the task.

  • heartbeat (AWSCDK::Duration, nil) (defaults to: nil) —

    Timeout for the heartbeat.

  • heartbeat_timeout (AWSCDK::StepFunctions::Timeout, nil) (defaults to: nil) —

    Timeout for the heartbeat.

  • integration_pattern (AWSCDK::StepFunctions::IntegrationPattern, nil) (defaults to: nil) —

    AWS Step Functions integrates with services directly in the Amazon States Language.

  • task_timeout (AWSCDK::StepFunctions::Timeout, nil) (defaults to: nil) —

    Timeout for the task.

  • timeout (AWSCDK::Duration, nil) (defaults to: nil) —

    Timeout for the task.

  • assign (Hash{String => Object}, nil) (defaults to: nil) —

    Workflow variables to store in this step.

  • input_path (String, nil) (defaults to: nil) —

    JSONPath expression to select part of the state to be the input to this state.

  • output_path (String, nil) (defaults to: nil) —

    JSONPath expression to select part of the state to be the output to this state.

  • outputs (Object, nil) (defaults to: nil) —

    Used to specify and transform output from the state.

  • result_path (String, nil) (defaults to: nil) —

    JSONPath expression to indicate where to inject the state's output.

  • result_selector (Hash{String => Object}, nil) (defaults to: nil) —

    The JSON that will replace the state's raw result and become the effective result before ResultPath is applied.

  • algorithm_specification (AWSCDK::StepFunctionsTasks::AlgorithmSpecification) —

    Identifies the training algorithm to use.

  • output_data_config (AWSCDK::StepFunctionsTasks::OutputDataConfig) —

    Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training.

  • training_job_name (String) —

    Training Job Name.

  • enable_network_isolation (Boolean, nil) (defaults to: nil) —

    Isolates the training container.

  • environment (Hash{String => String}, nil) (defaults to: nil) —

    Environment variables to set in the Docker container.

  • hyperparameters (Hash{String => Object}, nil) (defaults to: nil) —

    Algorithm-specific parameters that influence the quality of the model.

  • input_data_config (Array<AWSCDK::StepFunctionsTasks::Channel>, nil) (defaults to: nil) —

    Describes the various datasets (e.g. train, validation, test) and the Amazon S3 location where stored.

  • resource_config (AWSCDK::StepFunctionsTasks::ResourceConfig, nil) (defaults to: nil) —

    Specifies the resources, ML compute instances, and ML storage volumes to deploy for model training.

  • role (AWSCDK::IAM::IRole, nil) (defaults to: nil) —

    Role for the Training Job.

  • stopping_condition (AWSCDK::StepFunctionsTasks::StoppingCondition, nil) (defaults to: nil) —

    Sets a time limit for training.

  • tags (Hash{String => String}, nil) (defaults to: nil) —

    Tags to be applied to the train job.

  • vpc_config (AWSCDK::StepFunctionsTasks::VPCConfig, nil) (defaults to: nil) —

    Specifies the VPC that you want your training job to connect to.



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 34

def initialize(comment: nil, query_language: nil, state_name: nil, credentials: nil, heartbeat: nil, heartbeat_timeout: nil, integration_pattern: nil, task_timeout: nil, timeout: nil, assign: nil, input_path: nil, output_path: nil, outputs: nil, result_path: nil, result_selector: nil, algorithm_specification:, output_data_config:, training_job_name:, enable_network_isolation: nil, environment: nil, hyperparameters: nil, input_data_config: nil, resource_config: nil, role: nil, stopping_condition: nil, tags: nil, vpc_config: nil)
  @comment = comment
  Jsii::Type.check_type(@comment, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJzdHJpbmcifQ==")), "comment") unless @comment.nil?
  @query_language = query_language
  Jsii::Type.check_type(@query_language, JSON.parse(Base64.strict_decode64("eyJmcW4iOiJhd3MtY2RrLWxpYi5hd3Nfc3RlcGZ1bmN0aW9ucy5RdWVyeUxhbmd1YWdlIn0=")), "queryLanguage") unless @query_language.nil?
  @state_name = state_name
  Jsii::Type.check_type(@state_name, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJzdHJpbmcifQ==")), "stateName") unless @state_name.nil?
  @credentials = credentials.is_a?(Hash) ? ::AWSCDK::StepFunctions::Credentials.new(**credentials.transform_keys(&:to_sym)) : credentials
  Jsii::Type.check_type(@credentials, JSON.parse(Base64.strict_decode64("eyJmcW4iOiJhd3MtY2RrLWxpYi5hd3Nfc3RlcGZ1bmN0aW9ucy5DcmVkZW50aWFscyJ9")), "credentials") unless @credentials.nil?
  @heartbeat = heartbeat
  Jsii::Type.check_type(@heartbeat, JSON.parse(Base64.strict_decode64("eyJmcW4iOiJhd3MtY2RrLWxpYi5EdXJhdGlvbiJ9")), "heartbeat") unless @heartbeat.nil?
  @heartbeat_timeout = heartbeat_timeout
  Jsii::Type.check_type(@heartbeat_timeout, JSON.parse(Base64.strict_decode64("eyJmcW4iOiJhd3MtY2RrLWxpYi5hd3Nfc3RlcGZ1bmN0aW9ucy5UaW1lb3V0In0=")), "heartbeatTimeout") unless @heartbeat_timeout.nil?
  @integration_pattern = integration_pattern
  Jsii::Type.check_type(@integration_pattern, JSON.parse(Base64.strict_decode64("eyJmcW4iOiJhd3MtY2RrLWxpYi5hd3Nfc3RlcGZ1bmN0aW9ucy5JbnRlZ3JhdGlvblBhdHRlcm4ifQ==")), "integrationPattern") unless @integration_pattern.nil?
  @task_timeout = task_timeout
  Jsii::Type.check_type(@task_timeout, JSON.parse(Base64.strict_decode64("eyJmcW4iOiJhd3MtY2RrLWxpYi5hd3Nfc3RlcGZ1bmN0aW9ucy5UaW1lb3V0In0=")), "taskTimeout") unless @task_timeout.nil?
  @timeout = timeout
  Jsii::Type.check_type(@timeout, JSON.parse(Base64.strict_decode64("eyJmcW4iOiJhd3MtY2RrLWxpYi5EdXJhdGlvbiJ9")), "timeout") unless @timeout.nil?
  @assign = assign
  Jsii::Type.check_type(@assign, JSON.parse(Base64.strict_decode64("eyJjb2xsZWN0aW9uIjp7ImVsZW1lbnR0eXBlIjp7InByaW1pdGl2ZSI6ImFueSJ9LCJraW5kIjoibWFwIn19")), "assign") unless @assign.nil?
  @input_path = input_path
  Jsii::Type.check_type(@input_path, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJzdHJpbmcifQ==")), "inputPath") unless @input_path.nil?
  @output_path = output_path
  Jsii::Type.check_type(@output_path, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJzdHJpbmcifQ==")), "outputPath") unless @output_path.nil?
  @outputs = outputs
  Jsii::Type.check_type(@outputs, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJhbnkifQ==")), "outputs") unless @outputs.nil?
  @result_path = result_path
  Jsii::Type.check_type(@result_path, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJzdHJpbmcifQ==")), "resultPath") unless @result_path.nil?
  @result_selector = result_selector
  Jsii::Type.check_type(@result_selector, JSON.parse(Base64.strict_decode64("eyJjb2xsZWN0aW9uIjp7ImVsZW1lbnR0eXBlIjp7InByaW1pdGl2ZSI6ImFueSJ9LCJraW5kIjoibWFwIn19")), "resultSelector") unless @result_selector.nil?
  @algorithm_specification = algorithm_specification.is_a?(Hash) ? ::AWSCDK::StepFunctionsTasks::AlgorithmSpecification.new(**algorithm_specification.transform_keys(&:to_sym)) : algorithm_specification
  Jsii::Type.check_type(@algorithm_specification, JSON.parse(Base64.strict_decode64("eyJmcW4iOiJhd3MtY2RrLWxpYi5hd3Nfc3RlcGZ1bmN0aW9uc190YXNrcy5BbGdvcml0aG1TcGVjaWZpY2F0aW9uIn0=")), "algorithmSpecification")
  @output_data_config = output_data_config.is_a?(Hash) ? ::AWSCDK::StepFunctionsTasks::OutputDataConfig.new(**output_data_config.transform_keys(&:to_sym)) : output_data_config
  Jsii::Type.check_type(@output_data_config, JSON.parse(Base64.strict_decode64("eyJmcW4iOiJhd3MtY2RrLWxpYi5hd3Nfc3RlcGZ1bmN0aW9uc190YXNrcy5PdXRwdXREYXRhQ29uZmlnIn0=")), "outputDataConfig")
  @training_job_name = training_job_name
  Jsii::Type.check_type(@training_job_name, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJzdHJpbmcifQ==")), "trainingJobName")
  @enable_network_isolation = enable_network_isolation
  Jsii::Type.check_type(@enable_network_isolation, JSON.parse(Base64.strict_decode64("eyJwcmltaXRpdmUiOiJib29sZWFuIn0=")), "enableNetworkIsolation") unless @enable_network_isolation.nil?
  @environment = environment
  Jsii::Type.check_type(@environment, JSON.parse(Base64.strict_decode64("eyJjb2xsZWN0aW9uIjp7ImVsZW1lbnR0eXBlIjp7InByaW1pdGl2ZSI6InN0cmluZyJ9LCJraW5kIjoibWFwIn19")), "environment") unless @environment.nil?
  @hyperparameters = hyperparameters
  Jsii::Type.check_type(@hyperparameters, JSON.parse(Base64.strict_decode64("eyJjb2xsZWN0aW9uIjp7ImVsZW1lbnR0eXBlIjp7InByaW1pdGl2ZSI6ImFueSJ9LCJraW5kIjoibWFwIn19")), "hyperparameters") unless @hyperparameters.nil?
  @input_data_config = input_data_config.is_a?(Array) ? input_data_config.map { |jsii_v0| jsii_v0.is_a?(Hash) ? ::AWSCDK::StepFunctionsTasks::Channel.new(**jsii_v0.transform_keys(&:to_sym)) : jsii_v0 } : input_data_config
  Jsii::Type.check_type(@input_data_config, JSON.parse(Base64.strict_decode64("eyJjb2xsZWN0aW9uIjp7ImVsZW1lbnR0eXBlIjp7ImZxbiI6ImF3cy1jZGstbGliLmF3c19zdGVwZnVuY3Rpb25zX3Rhc2tzLkNoYW5uZWwifSwia2luZCI6ImFycmF5In19")), "inputDataConfig") unless @input_data_config.nil?
  @resource_config = resource_config.is_a?(Hash) ? ::AWSCDK::StepFunctionsTasks::ResourceConfig.new(**resource_config.transform_keys(&:to_sym)) : resource_config
  Jsii::Type.check_type(@resource_config, JSON.parse(Base64.strict_decode64("eyJmcW4iOiJhd3MtY2RrLWxpYi5hd3Nfc3RlcGZ1bmN0aW9uc190YXNrcy5SZXNvdXJjZUNvbmZpZyJ9")), "resourceConfig") unless @resource_config.nil?
  @role = role
  Jsii::Type.check_type(@role, JSON.parse(Base64.strict_decode64("eyJmcW4iOiJhd3MtY2RrLWxpYi5hd3NfaWFtLklSb2xlIn0=")), "role") unless @role.nil?
  @stopping_condition = stopping_condition.is_a?(Hash) ? ::AWSCDK::StepFunctionsTasks::StoppingCondition.new(**stopping_condition.transform_keys(&:to_sym)) : stopping_condition
  Jsii::Type.check_type(@stopping_condition, JSON.parse(Base64.strict_decode64("eyJmcW4iOiJhd3MtY2RrLWxpYi5hd3Nfc3RlcGZ1bmN0aW9uc190YXNrcy5TdG9wcGluZ0NvbmRpdGlvbiJ9")), "stoppingCondition") unless @stopping_condition.nil?
  @tags = tags
  Jsii::Type.check_type(@tags, JSON.parse(Base64.strict_decode64("eyJjb2xsZWN0aW9uIjp7ImVsZW1lbnR0eXBlIjp7InByaW1pdGl2ZSI6InN0cmluZyJ9LCJraW5kIjoibWFwIn19")), "tags") unless @tags.nil?
  @vpc_config = vpc_config.is_a?(Hash) ? ::AWSCDK::StepFunctionsTasks::VPCConfig.new(**vpc_config.transform_keys(&:to_sym)) : vpc_config
  Jsii::Type.check_type(@vpc_config, JSON.parse(Base64.strict_decode64("eyJmcW4iOiJhd3MtY2RrLWxpYi5hd3Nfc3RlcGZ1bmN0aW9uc190YXNrcy5WcGNDb25maWcifQ==")), "vpcConfig") unless @vpc_config.nil?
end

Instance Attribute Details

#algorithm_specification ⇒ AWSCDK::StepFunctionsTasks::AlgorithmSpecification (readonly)

Identifies the training algorithm to use.

Returns:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 211

def algorithm_specification
  @algorithm_specification
end

#assign ⇒ Hash{String => Object}? (readonly)

Note:

Default: - Not assign variables

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:

  • (Hash{String => Object}, nil)

See Also:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 162

def assign
  @assign
end

#comment ⇒ String? (readonly)

Note:

Default: No comment

A comment describing this state.

Returns:

  • (String, nil) 


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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 95

def comment
  @comment
end

#credentials ⇒ AWSCDK::StepFunctions::Credentials? (readonly)

Note:

Default: - None (Task is executed using the State Machine's execution role)

Credentials for an IAM Role that the State Machine assumes for executing the task.

This enables cross-account resource invocations.

Returns:

See Also:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 116

def credentials
  @credentials
end

#enable_network_isolation ⇒ Boolean? (readonly)

Note:

Default: false

Isolates the training container.

No inbound or outbound network calls can be made to or from the training container.

Returns:

  • (Boolean, nil) 


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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 226

def enable_network_isolation
  @enable_network_isolation
end

#environment ⇒ Hash{String => String}? (readonly)

Note:

Default: - No environment variables

Environment variables to set in the Docker container.

Returns:

  • (Hash{String => String}, nil) 


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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 231

def environment
  @environment
end

#heartbeat ⇒ AWSCDK::Duration? (readonly)

Deprecated.

use heartbeatTimeout

Note:

Default: - None

Timeout for the heartbeat.

Returns:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 122

def heartbeat
  @heartbeat
end

#heartbeat_timeout ⇒ AWSCDK::StepFunctions::Timeout? (readonly)

Note:

Default: - None

Timeout for the heartbeat.

[disable-awslint:duration-prop-type] is needed because all props interface in aws-stepfunctions-tasks extend this interface

Returns:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 130

def heartbeat_timeout
  @heartbeat_timeout
end

#hyperparameters ⇒ Hash{String => Object}? (readonly)

Note:

Default: - No 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:

  • (Hash{String => Object}, nil)

See Also:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 240

def hyperparameters
  @hyperparameters
end

#input_data_config ⇒ Array<AWSCDK::StepFunctionsTasks::Channel>? (readonly)

Note:

Default: - No inputDataConfig

Describes the various datasets (e.g. train, validation, test) and the Amazon S3 location where stored.

Returns:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 245

def input_data_config
  @input_data_config
end

#input_path ⇒ String? (readonly)

Note:

Default: $

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:

  • (String, nil) 


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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 170

def input_path
  @input_path
end

#integration_pattern ⇒ AWSCDK::StepFunctions::IntegrationPattern? (readonly)

Note:

Default: - IntegrationPattern.REQUEST_RESPONSE for most tasks. IntegrationPattern.RUN_JOB for the following exceptions: BatchSubmitJob, EmrAddStep, EmrCreateCluster, EmrTerminationCluster, and EmrContainersStartJobRun.

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:

See Also:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 140

def integration_pattern
  @integration_pattern
end

#output_data_config ⇒ AWSCDK::StepFunctionsTasks::OutputDataConfig (readonly)

Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training.

Returns:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 215

def output_data_config
  @output_data_config
end

#output_path ⇒ String? (readonly)

Note:

Default: $

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:

  • (String, nil) 


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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 178

def output_path
  @output_path
end

#outputs ⇒ Object? (readonly)

Note:

Default: - $states.result or $states.errorOutput

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:

  • (Object, nil)

See Also:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 190

def outputs
  @outputs
end

#query_language ⇒ AWSCDK::StepFunctions::QueryLanguage? (readonly)

Note:

Default: - JSONPath

The name of the query language used by the state.

If the state does not contain a query_language field, then it will use the query language specified in the top-level query_language field.

Returns:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 103

def query_language
  @query_language
end

#resource_config ⇒ AWSCDK::StepFunctionsTasks::ResourceConfig? (readonly)

Note:

Default: - 1 instance of EC2 M4.XLarge with 10GB volume

Specifies the resources, ML compute instances, and ML storage volumes to deploy for model training.

Returns:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 250

def resource_config
  @resource_config
end

#result_path ⇒ String? (readonly)

Note:

Default: $

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:

  • (String, nil) 


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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 198

def result_path
  @result_path
end

#result_selector ⇒ Hash{String => Object}? (readonly)

Note:

Default: - None

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:

  • (Hash{String => Object}, nil)

See Also:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 207

def result_selector
  @result_selector
end

#role ⇒ AWSCDK::IAM::IRole? (readonly)

Note:

Default: - a role will be created.

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:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 260

def role
  @role
end

#state_name ⇒ String? (readonly)

Note:

Default: - The construct ID will be used as state name

Optional name for this state.

Returns:

  • (String, nil) 


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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 108

def state_name
  @state_name
end

#stopping_condition ⇒ AWSCDK::StepFunctionsTasks::StoppingCondition? (readonly)

Note:

Default: - max runtime of 1 hour

Sets a time limit for training.

Returns:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 265

def stopping_condition
  @stopping_condition
end

#tags ⇒ Hash{String => String}? (readonly)

Note:

Default: - No tags

Tags to be applied to the train job.

Returns:

  • (Hash{String => String}, nil) 


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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 270

def tags
  @tags
end

#task_timeout ⇒ AWSCDK::StepFunctions::Timeout? (readonly)

Note:

Default: - None

Timeout for the task.

[disable-awslint:duration-prop-type] is needed because all props interface in aws-stepfunctions-tasks extend this interface

Returns:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 148

def task_timeout
  @task_timeout
end

#timeout ⇒ AWSCDK::Duration? (readonly)

Deprecated.

use taskTimeout

Note:

Default: - None

Timeout for the task.

Returns:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 154

def timeout
  @timeout
end

#training_job_name ⇒ String (readonly)

Training Job Name.

Returns:

  • (String) 


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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 219

def training_job_name
  @training_job_name
end

#vpc_config ⇒ AWSCDK::StepFunctionsTasks::VPCConfig? (readonly)

Note:

Default: - No VPC

Specifies the VPC that you want your training job to connect to.

Returns:



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 275

def vpc_config
  @vpc_config
end

Class Method Details

.jsii_properties ⇒ Object 



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 277

def self.jsii_properties
  {
    :comment => "comment",
    :query_language => "queryLanguage",
    :state_name => "stateName",
    :credentials => "credentials",
    :heartbeat => "heartbeat",
    :heartbeat_timeout => "heartbeatTimeout",
    :integration_pattern => "integrationPattern",
    :task_timeout => "taskTimeout",
    :timeout => "timeout",
    :assign => "assign",
    :input_path => "inputPath",
    :output_path => "outputPath",
    :outputs => "outputs",
    :result_path => "resultPath",
    :result_selector => "resultSelector",
    :algorithm_specification => "algorithmSpecification",
    :output_data_config => "outputDataConfig",
    :training_job_name => "trainingJobName",
    :enable_network_isolation => "enableNetworkIsolation",
    :environment => "environment",
    :hyperparameters => "hyperparameters",
    :input_data_config => "inputDataConfig",
    :resource_config => "resourceConfig",
    :role => "role",
    :stopping_condition => "stoppingCondition",
    :tags => "tags",
    :vpc_config => "vpcConfig",
  }
end

Instance Method Details

#to_jsii ⇒ Object 



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# File 'step_functions_tasks/sage_maker_create_training_job_props.rb', line 309

def to_jsii
  result = {}
  result.merge!(super)
  result.merge!({
    "comment" => @comment,
    "queryLanguage" => @query_language,
    "stateName" => @state_name,
    "credentials" => @credentials,
    "heartbeat" => @heartbeat,
    "heartbeatTimeout" => @heartbeat_timeout,
    "integrationPattern" => @integration_pattern,
    "taskTimeout" => @task_timeout,
    "timeout" => @timeout,
    "assign" => @assign,
    "inputPath" => @input_path,
    "outputPath" => @output_path,
    "outputs" => @outputs,
    "resultPath" => @result_path,
    "resultSelector" => @result_selector,
    "algorithmSpecification" => @algorithm_specification,
    "outputDataConfig" => @output_data_config,
    "trainingJobName" => @training_job_name,
    "enableNetworkIsolation" => @enable_network_isolation,
    "environment" => @environment,
    "hyperparameters" => @hyperparameters,
    "inputDataConfig" => @input_data_config,
    "resourceConfig" => @resource_config,
    "role" => @role,
    "stoppingCondition" => @stopping_condition,
    "tags" => @tags,
    "vpcConfig" => @vpc_config,
  })
  result.compact
end