Values.CustomModelTrainingParametersSourceContains custom model training parameters. See Custom models in Neptune ML.
type nonrec t = {sourceS3DirectoryPath : String_.t;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.
*)trainingEntryPointScript : String_.t option;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.
*)transformEntryPointScript : String_.t option;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.
*)}