Class: Aws::Neptunedata::Types::CustomModelTrainingParameters

Inherits:

Struct

• Object
• Struct
• Aws::Neptunedata::Types::CustomModelTrainingParameters

Includes:

Structure

Defined in:

lib/aws-sdk-neptunedata/types.rb

Overview

Contains custom model training parameters. See [Custom models in Neptune ML].

[1]: docs.aws.amazon.com/neptune/latest/userguide/machine-learning-custom-models.html

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #source_s3_directory_path ⇒ String

  The path to the Amazon S3 location where the Python module implementing your model is located.

• #training_entry_point_script ⇒ String

  The name of the entry point in your module of a script that performs model training and takes hyperparameters as command-line arguments, including fixed hyperparameters.

• #transform_entry_point_script ⇒ String

  The name of the entry point in your module of a script that should be run after the best model from the hyperparameter search has been identified, to compute the model artifacts necessary for model deployment.

Instance Attribute Details

#source_s3_directory_path ⇒ String

The path to the Amazon S3 location where the Python module implementing your model is located. This must point to a valid existing Amazon S3 location that contains, at a minimum, a training script, a transform script, and a ‘model-hpo-configuration.json` file.

Returns:

• (String)

# File 'lib/aws-sdk-neptunedata/types.rb', line 501

class CustomModelTrainingParameters < Struct.new(
  :source_s3_directory_path,
  :training_entry_point_script,
  :transform_entry_point_script)
  SENSITIVE = []
  include Aws::Structure
end

#training_entry_point_script ⇒ String

The name of the entry point in your module of a script that performs model training and takes hyperparameters as command-line arguments, including fixed hyperparameters. The default is ‘training.py`.

Returns:

• (String)

# File 'lib/aws-sdk-neptunedata/types.rb', line 501

class CustomModelTrainingParameters < Struct.new(
  :source_s3_directory_path,
  :training_entry_point_script,
  :transform_entry_point_script)
  SENSITIVE = []
  include Aws::Structure
end

#transform_entry_point_script ⇒ String

The name of the entry point in your module of a script that should be run after the best model from the hyperparameter search has been identified, to compute the model artifacts necessary for model deployment. It should be able to run with no command-line arguments.The default is ‘transform.py`.

Returns:

• (String)

# File 'lib/aws-sdk-neptunedata/types.rb', line 501

class CustomModelTrainingParameters < Struct.new(
  :source_s3_directory_path,
  :training_entry_point_script,
  :transform_entry_point_script)
  SENSITIVE = []
  include Aws::Structure
end