Class: Aws::SageMaker::Types::CreateAutoMLJobRequest

Inherits:
Struct
  • Object
show all
Includes:
Aws::Structure
Defined in:
lib/aws-sdk-sagemaker/types.rb

Overview

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#auto_ml_job_configTypes::AutoMLJobConfig

A collection of settings used to configure an AutoML job.



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# File 'lib/aws-sdk-sagemaker/types.rb', line 5663

class CreateAutoMLJobRequest < Struct.new(
  :auto_ml_job_name,
  :input_data_config,
  :output_data_config,
  :problem_type,
  :auto_ml_job_objective,
  :auto_ml_job_config,
  :role_arn,
  :generate_candidate_definitions_only,
  :tags,
  :model_deploy_config)
  SENSITIVE = []
  include Aws::Structure
end

#auto_ml_job_nameString

Identifies an Autopilot job. The name must be unique to your account and is case insensitive.

Returns:

  • (String)


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# File 'lib/aws-sdk-sagemaker/types.rb', line 5663

class CreateAutoMLJobRequest < Struct.new(
  :auto_ml_job_name,
  :input_data_config,
  :output_data_config,
  :problem_type,
  :auto_ml_job_objective,
  :auto_ml_job_config,
  :role_arn,
  :generate_candidate_definitions_only,
  :tags,
  :model_deploy_config)
  SENSITIVE = []
  include Aws::Structure
end

#auto_ml_job_objectiveTypes::AutoMLJobObjective

Specifies a metric to minimize or maximize as the objective of a job. If not specified, the default objective metric depends on the problem type. See [AutoMLJobObjective] for the default values.

[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLJobObjective.html



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# File 'lib/aws-sdk-sagemaker/types.rb', line 5663

class CreateAutoMLJobRequest < Struct.new(
  :auto_ml_job_name,
  :input_data_config,
  :output_data_config,
  :problem_type,
  :auto_ml_job_objective,
  :auto_ml_job_config,
  :role_arn,
  :generate_candidate_definitions_only,
  :tags,
  :model_deploy_config)
  SENSITIVE = []
  include Aws::Structure
end

#generate_candidate_definitions_onlyBoolean

Generates possible candidates without training the models. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.

Returns:

  • (Boolean)


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# File 'lib/aws-sdk-sagemaker/types.rb', line 5663

class CreateAutoMLJobRequest < Struct.new(
  :auto_ml_job_name,
  :input_data_config,
  :output_data_config,
  :problem_type,
  :auto_ml_job_objective,
  :auto_ml_job_config,
  :role_arn,
  :generate_candidate_definitions_only,
  :tags,
  :model_deploy_config)
  SENSITIVE = []
  include Aws::Structure
end

#input_data_configArray<Types::AutoMLChannel>

An array of channel objects that describes the input data and its location. Each channel is a named input source. Similar to ‘InputDataConfig` supported by [HyperParameterTrainingJobDefinition]. Format(s) supported: CSV, Parquet. A minimum of 500 rows is required for the training dataset. There is not a minimum number of rows required for the validation dataset.

[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTrainingJobDefinition.html

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 5663

class CreateAutoMLJobRequest < Struct.new(
  :auto_ml_job_name,
  :input_data_config,
  :output_data_config,
  :problem_type,
  :auto_ml_job_objective,
  :auto_ml_job_config,
  :role_arn,
  :generate_candidate_definitions_only,
  :tags,
  :model_deploy_config)
  SENSITIVE = []
  include Aws::Structure
end

#model_deploy_configTypes::ModelDeployConfig

Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.



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# File 'lib/aws-sdk-sagemaker/types.rb', line 5663

class CreateAutoMLJobRequest < Struct.new(
  :auto_ml_job_name,
  :input_data_config,
  :output_data_config,
  :problem_type,
  :auto_ml_job_objective,
  :auto_ml_job_config,
  :role_arn,
  :generate_candidate_definitions_only,
  :tags,
  :model_deploy_config)
  SENSITIVE = []
  include Aws::Structure
end

#output_data_configTypes::AutoMLOutputDataConfig

Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job. Format(s) supported: CSV.



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# File 'lib/aws-sdk-sagemaker/types.rb', line 5663

class CreateAutoMLJobRequest < Struct.new(
  :auto_ml_job_name,
  :input_data_config,
  :output_data_config,
  :problem_type,
  :auto_ml_job_objective,
  :auto_ml_job_config,
  :role_arn,
  :generate_candidate_definitions_only,
  :tags,
  :model_deploy_config)
  SENSITIVE = []
  include Aws::Structure
end

#problem_typeString

Defines the type of supervised learning problem available for the candidates. For more information, see [ SageMaker Autopilot problem types].

[1]: docs.aws.amazon.com/sagemaker/latest/dg/autopilot-datasets-problem-types.html#autopilot-problem-types

Returns:

  • (String)


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# File 'lib/aws-sdk-sagemaker/types.rb', line 5663

class CreateAutoMLJobRequest < Struct.new(
  :auto_ml_job_name,
  :input_data_config,
  :output_data_config,
  :problem_type,
  :auto_ml_job_objective,
  :auto_ml_job_config,
  :role_arn,
  :generate_candidate_definitions_only,
  :tags,
  :model_deploy_config)
  SENSITIVE = []
  include Aws::Structure
end

#role_arnString

The ARN of the role that is used to access the data.

Returns:

  • (String)


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# File 'lib/aws-sdk-sagemaker/types.rb', line 5663

class CreateAutoMLJobRequest < Struct.new(
  :auto_ml_job_name,
  :input_data_config,
  :output_data_config,
  :problem_type,
  :auto_ml_job_objective,
  :auto_ml_job_config,
  :role_arn,
  :generate_candidate_definitions_only,
  :tags,
  :model_deploy_config)
  SENSITIVE = []
  include Aws::Structure
end

#tagsArray<Types::Tag>

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see [Tagging Amazon Web ServicesResources]. Tag keys must be unique per resource.

[1]: docs.aws.amazon.com/general/latest/gr/aws_tagging.html

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 5663

class CreateAutoMLJobRequest < Struct.new(
  :auto_ml_job_name,
  :input_data_config,
  :output_data_config,
  :problem_type,
  :auto_ml_job_objective,
  :auto_ml_job_config,
  :role_arn,
  :generate_candidate_definitions_only,
  :tags,
  :model_deploy_config)
  SENSITIVE = []
  include Aws::Structure
end