Class: Aws::Neptunedata::Types::CustomModelTransformParameters

Inherits:

Struct

Object
Struct
Aws::Neptunedata::Types::CustomModelTransformParameters

show all

Includes:: Structure

Defined in:: lib/aws-sdk-neptunedata/types.rb

Overview

Contains custom model transform parameters. See [Use a trained model to generate new model artifacts].

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

Constant Summary collapse

SENSITIVE =

[]

Instance Attribute Summary collapse

#source_s3_directory_path ⇒ String

The path to the Amazon S3 location where the Python module implementing your model is located.
#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 534

class CustomModelTransformParameters < Struct.new(
  :source_s3_directory_path,
  :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`.