create_identical_dataset_and_algorithm_tuner: Creates a new tuner with an identical dataset and algorithm.

In DyfanJones/sagemaker-r-mlcore: sagemaker machine learning core classes and methods

Creates a new tuner with an identical dataset and algorithm.

Description

It does this identical creation by copying the request fields from the provided parent to the new instance of “HyperparameterTuner“ followed by addition of warm start configuration with the type as "IdenticalDataAndAlgorithm" and “parents“ as the union of provided list of “additional_parents“ and the “parent“.

Usage

create_identical_dataset_and_algorithm_tuner(
  parent,
  additional_parents = NULL,
  sagemaker_session = NULL
)

Arguments

parent	(str): Primary parent tuning job's name from which the Tuner and Estimator configuration has to be copied
additional_parents	(setstr): Set of additional parent tuning job's names along with the primary parent tuning job name to be used in warm starting the transfer learning tuner.
sagemaker_session	(sagemaker.session.Session): Session object which manages interactions with Amazon SageMaker APIs and any other AWS services needed. If not specified, one is created using the default AWS configuration chain.

Value

sagemaker.tuner.HyperparameterTuner: a new “HyperparameterTuner“ object for the warm-started hyperparameter tuning job

DyfanJones/sagemaker-r-mlcore documentation built on May 3, 2022, 10:08 a.m.