[tune] Tune experiment analysis improvements #10645
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added 11 commits
September 7, 2020 19:06
# Conflicts: # python/ray/tune/suggest/bohb.py # python/ray/tune/suggest/dragonfly.py # python/ray/tune/suggest/nevergrad.py # python/ray/tune/suggest/skopt.py # python/ray/tune/suggest/zoopt.py
krfricke
commented
Sep 8, 2020
krfricke
changed the title
richardliaw
reviewed
Sep 8, 2020
| return best_trial | ||
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| def get_best_config(self, metric=None, mode=None, scope="all"): | ||
| def get_best_config(self, metric=None, mode=None, scope="last"): |
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nice - need to explicitly say this on the release notes
richardliaw
reviewed
Sep 8, 2020
richardliaw
reviewed
Sep 8, 2020
Contributor
|
A couple tests failing - https://travis-ci.com/github/ray-project/ray/jobs/382378743 |
Contributor
Author
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I'll fix these once the metric/mode got merged |
Contributor
Author
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Actually updated them now. |
richardliaw
approved these changes
Sep 9, 2020
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Why are these changes needed?
Depends on successful merge of #10627.
This PR adds useful utility functions to the ExperimentAnalysis object. Most functions were available before, but these wrapper properties allow easy access without specifying any parameters as long as
modeandmetrichave been passed totune.run().It also introduces fetching pandas dataframes for the last trial results, a feature often found in other libraries.
The default lookup scope has been changed from
alltolast, as most users are interested comparing the final results, and not intermediate results.Related issue number
#10488
Checks
scripts/format.shto lint the changes in this PR.