Create and manage unique directories for each 'TensorFlow' training run. Provides a unique, time stamped directory for each run along with functions to retrieve the directory of the latest run or latest several runs.
The tfruns package provides a suite of tools for managing TensorFlow training runs and experiments from R:
Track the hyperparameters, metrics, output, and source code of every training run.
Compare hyperparmaeters and metrics across runs to find the best performing model.
Automatically generate reports to visualize individual training runs or comparisons between runs.
No changes to source code required (run data is automatically captured for all Keras and TF Estimator models).
You can find documentation for the tfruns package at https://tensorflow.rstudio.com/tools/tfruns