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Polyaxon v1.16: Progress tracking

Users can now log the progress of their runs and have a progress bar in the UI to get a quick overview of their runs.

Tracking progress

Users can now log progress, a value between 0 and 1, for each one of their runs

from polyaxon import tracking
...
tracking.init()
...
for i in range(100):
  tracking.log_progress((i+1)/100)
...

Polyaxon will automatically show a progress bar on any run with a progress metadata:

run-overview-progress

On the runs table, users can add the progress columns to view the progress of all runs with the logged progress metadata:

runs-table-progress

Learn More about Polyaxon

This blog post just goes over a couple of features that we shipped in v1.16. To learn more about all the features, fixes, and enhancements, please visit the release notes and the short term roadmap.

Polyaxon continues to grow quickly and keeps improving and providing the simplest machine learning abstraction. We hope that these updates will improve your workflows and increase your productivity, and again, thank you for your continued feedback and support.

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