Saving Files
This topic teaches you how to use the track_file
function to save files associated with experiments.
Cloudera Machine Learning allows you to select which artifacts you'd like to access and evaluate after an experiment is complete. These artifacts could be anything from a text file to an image or a model that you have built through the run.
The cdsw library includes a
track_file function that can be used to specify which
artifacts should be retained after the experiment is complete.
Python
cdsw.track_file('model.pkl')R
cdsw::track.file('model.pkl')Specified artifacts can be accessed from the run's Overview page. These files can also be saved to the top-level project filesystem and downloaded from there.
