Class: Aws::Neptunedata::Types::CustomModelTrainingParameters
- Inherits:
-
Struct
- Object
- Struct
- Aws::Neptunedata::Types::CustomModelTrainingParameters
- Defined in:
- gems/aws-sdk-neptunedata/lib/aws-sdk-neptunedata/types.rb
Overview
Contains custom model training parameters. See Custom models in Neptune ML.
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.
-
#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.
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# File 'gems/aws-sdk-neptunedata/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
.
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# File 'gems/aws-sdk-neptunedata/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
.
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# File 'gems/aws-sdk-neptunedata/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 |