Train a machine learning model, based on automatically annotated input data to generate synthetic records.

In order to use this module you must first create a config and then pass that config to the train_rnn function.

gretel_synthetics.train.train_rnn(store: gretel_synthetics.config.BaseConfig)

Fit synthetic data model on training data.

This will annotate the training data and create a new file that will be used to actually train on. The updated training data, model, checkkpoints, etc will all be saved in the location specified by your config.


store – An instance of one of the available configs that you previously created