Ax for AutoML #3386
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This pull request was exported from Phabricator. Differential Revision: D69810535 |
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Summary: Pull Request resolved: facebook#3386 Tutorial demonstrating using Ax to tune a sklearn model. Uses many of Ax's advanced features. Exported from bento then ran $ ~/fbcode/bento/scripts/strip_fb.sh fbcode/ax/github/tutorials/automl/automl.ipynb Differential Revision: D69810535
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #3386 +/- ##
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- Coverage 95.98% 95.98% -0.01%
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Files 539 539
Lines 52790 52790
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- Hits 50673 50671 -2
- Misses 2117 2119 +2 ☔ View full report in Codecov by Sentry. |
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This pull request was exported from Phabricator. Differential Revision: D69810535 |
mpolson64
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Summary: Pull Request resolved: facebook#3386 Tutorial demonstrating using Ax to tune a sklearn model. Uses many of Ax's advanced features. Differential Revision: D69810535
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Summary: Pull Request resolved: facebook#3386 Tutorial demonstrating using Ax to tune a sklearn model. Uses many of Ax's advanced features. Differential Revision: D69810535
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This pull request was exported from Phabricator. Differential Revision: D69810535 |
mpolson64
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Summary: Pull Request resolved: facebook#3386 Tutorial demonstrating using Ax to tune a sklearn model. Uses many of Ax's advanced features. Differential Revision: D69810535
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This pull request was exported from Phabricator. Differential Revision: D69810535 |
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Summary: Pull Request resolved: facebook#3386 Tutorial demonstrating using Ax to tune a sklearn model. Uses many of Ax's advanced features. Differential Revision: D69810535
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Summary: Remove all previous pages in preparation for new documentation. Only land this stack all at once Differential Revision: D69266922
Summary: Basic doc motivating adaptive experiment design over traditional doe Differential Revision: D69267231
Summary: Basic doc introducing BO concepts like surrogate models, acquisition functions, etc. Differential Revision: D69267374
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This pull request was exported from Phabricator. Differential Revision: D69810535 |
mpolson64
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Summary: Pull Request resolved: facebook#3386 Tutorial demonstrating using Ax to tune a sklearn model. Uses many of Ax's advanced features. Reviewed By: mgarrard Differential Revision: D69810535
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This pull request was exported from Phabricator. Differential Revision: D69810535 |
mpolson64
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Summary: Pull Request resolved: facebook#3386 Tutorial demonstrating using Ax to tune a sklearn model. Uses many of Ax's advanced features. Reviewed By: mgarrard Differential Revision: D69810535
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This pull request was exported from Phabricator. Differential Revision: D69810535 |
mpolson64
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Feb 20, 2025
Summary: Pull Request resolved: facebook#3386 Tutorial demonstrating using Ax to tune a sklearn model. Uses many of Ax's advanced features. Reviewed By: mgarrard Differential Revision: D69810535
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mpolson64
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Summary: Pull Request resolved: facebook#3386 Tutorial demonstrating using Ax to tune a sklearn model. Uses many of Ax's advanced features. Reviewed By: mgarrard Differential Revision: D69810535
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Summary: Tutorial demonstrating ask-tell usage for minimizing hartmann6. Advanced features (constraints, MOO, storage, partial data, etc) not covered. Differential Revision: D69322316
Summary: Tutorial demonstrating ask-tell usage for maximizing strength in a 3D printing project. Advanced features (MOO, storage, partial data, etc) not covered. Differential Revision: D69478989
Summary: Tutorial demonstrating early stopping via the Client using modified hartmann6. WIP: * Something is wrong with pending_points, we are seeing early stopped trials getting suggested again. Will investigate. * I am still a little skeptical about the erogonomics around requiring raw_data and progression when we call mark_trial_early_stopped -- this is substantially different than what we do for mark_trial_failed or mark_trial_abandoned and seems like it would basically always involve us attaching data, asking whether or not to early stop the trial, then attaching the same data again. I know we're concerned about a specific footgun for certain internal users, but Im curious if thinking has changed on this since we last spoke saitcakmak Differential Revision: D69484561
Summary: Tutorial demonstrating custom metrics, runner, and run_n_trials (scheduler) Differential Revision: D69810152
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This pull request was exported from Phabricator. Differential Revision: D69810535 |
mpolson64
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Summary: Pull Request resolved: facebook#3386 Tutorial demonstrating using Ax to tune a sklearn model. Uses many of Ax's advanced features. Reviewed By: mgarrard Differential Revision: D69810535
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Summary: Pull Request resolved: facebook#3386 Tutorial demonstrating using Ax to tune a sklearn model. Uses many of Ax's advanced features. Reviewed By: mgarrard Differential Revision: D69810535
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This pull request was exported from Phabricator. Differential Revision: D69810535 |
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Summary:
Tutorial demonstrating using Ax to tune a sklearn model. Uses many of Ax's advanced features.
Exported from bento then ran $ ~/fbcode/bento/scripts/strip_fb.sh fbcode/ax/github/tutorials/automl/automl.ipynb
Differential Revision: D69810535