prepare_amazon_algorithm_estimator: Sets up amazon algorithm estimator.

In DyfanJones/sagemaker-r-workflow: sagemaker pipeline and workflows

Sets up amazon algorithm estimator.

Description

This is done by adding the required 'feature_dim' hyperparameter from training data.

Usage

prepare_amazon_algorithm_estimator(estimator, inputs, mini_batch_size = NULL)

Arguments

estimator	(sagemaker.amazon.amazon_estimator.AmazonAlgorithmEstimatorBase): An estimator for a built-in Amazon algorithm to get information from and update.
inputs	: The training data. * (sagemaker.amazon.amazon_estimator.RecordSet) - A collection of Amazon :class:~'Record' objects serialized and stored in S3. For use with an estimator for an Amazon algorithm. * (list[sagemaker.amazon.amazon_estimator.RecordSet]) - A list of :class:~'sagemaker.amazon.amazon_estimator.RecordSet' objects, where each instance is a different channel of training data.
mini_batch_size	(numeric):

DyfanJones/sagemaker-r-workflow documentation built on April 3, 2022, 11:28 p.m.