train-evaluate-predict: Base Documentation for train, evaluate, and predict.

Description Arguments

Description

Base Documentation for train, evaluate, and predict.

Arguments

input_fn

An input function, typically generated by the input_fn() helper function.

hooks

A list of R functions, to be used as callbacks inside the training loop. By default, hook_history_saver(every_n_step = 10) and hook_progress_bar() will be attached if not provided to save the metrics history and create the progress bar.

checkpoint_path

The path to a specific model checkpoint to be used for prediction. If NULL (the default), the latest checkpoint in model_dir is used.


tfestimators documentation built on Aug. 10, 2021, 1:06 a.m.