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train-evaluate-predict

Base Documentation for train, evaluate, and predict.


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

Interface to 'TensorFlow' Estimators

v1.9.1
Apache License 2.0
Authors
JJ Allaire [aut], Yuan Tang [aut] (<https://orcid.org/0000-0001-5243-233X>), Kevin Ushey [aut], Kevin Kuo [aut, cre] (<https://orcid.org/0000-0001-7803-7901>), Daniel Falbel [ctb, cph], RStudio [cph, fnd], Google Inc. [cph]
Initial release

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