12 Commits

Author SHA1 Message Date
Copilot
bf35f98a24 Document missing value handling behavior for AutoML estimators (#1473)
* Initial plan

* Add comprehensive documentation on missing value handling in FAQ

Co-authored-by: thinkall <3197038+thinkall@users.noreply.github.com>

* Apply mdformat to FAQ.md

Co-authored-by: thinkall <3197038+thinkall@users.noreply.github.com>

* Correct FAQ: FLAML does preprocess missing values with SimpleImputer

Co-authored-by: thinkall <3197038+thinkall@users.noreply.github.com>

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Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: thinkall <3197038+thinkall@users.noreply.github.com>
Co-authored-by: Li Jiang <bnujli@gmail.com>
2026-01-20 21:53:10 +08:00
Copilot
5f1aa2dda8 Fix: Preserve FLAML_sample_size in best_config_per_estimator (#1475)
* Initial plan

* Fix: Preserve FLAML_sample_size in best_config_per_estimator

Modified best_config_per_estimator property to keep FLAML_sample_size when returning best configurations. Previously, AutoMLState.sanitize() was removing this key, which caused the sample size information to be lost when using starting_points from a previous run.

Co-authored-by: thinkall <3197038+thinkall@users.noreply.github.com>

* Add a test to verify the improvement of starting_points

* Update documentation to reflect FLAML_sample_size preservation

Updated Task-Oriented-AutoML.md to document that best_config_per_estimator now preserves FLAML_sample_size:
- Added note in "Warm start" section explaining that FLAML_sample_size is preserved for effective warm-starting
- Added note in "Get best configuration" section with example showing FLAML_sample_size in output
- Explains importance of sample size preservation for continuing optimization with correct sample sizes

Co-authored-by: thinkall <3197038+thinkall@users.noreply.github.com>

* Fix unintended code change

* Improve docstrings and docs

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Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: thinkall <3197038+thinkall@users.noreply.github.com>
Co-authored-by: Li Jiang <bnujli@gmail.com>
Co-authored-by: Li Jiang <lijiang1@microsoft.com>
2026-01-20 07:42:31 +08:00
Li Jiang
f6a5163e6a Fix isinstance usage issues (#1488)
* Fix isinstance usage issues

* Pin python version to 3.12 for pre-commit

* Update mdformat to 0.7.22
2026-01-19 15:19:05 +08:00
Li Jiang
a74354f7a9 Update documents, Bump version to 2.4.1, Sync Fabric till 088cfb98 (#1482)
* Add best practices

* Update docs to reflect on the recent changes

* Improve model persisting best practices

* Bump version to 2.4.1

* List all estimators

* Remove autogen

* Update dependencies
2026-01-13 12:49:36 +08:00
Li Jiang
2d16089529 Improve FAQ docs (#1448)
* Fix settings usage error

* Add new code example
2025-07-09 18:33:10 +08:00
Li Jiang
15fda2206b Add example of how to get best config and convert it to parameters (#1323) 2024-07-24 08:20:36 +00:00
Jirka Borovec
165d7467f9 precommit: introduce mdformat (#1276)
* precommit: introduce `mdformat`

* precommit: apply
2024-03-19 22:46:56 +00:00
Chi Wang
2338431990 FAQ about OOM (#849)
* FAQ about OOM

* reduce -> resolve
2022-12-13 18:09:50 -05:00
Qingyun Wu
e3d26c0650 add guideline collection (#687)
* add guideline collection

* remove redundancy
2022-08-20 09:18:35 -04:00
Prajwal Borkar
18f692281a Updated doc (#572)
* Update website/docs/FAQ.md
2022-06-05 11:03:26 -07:00
Xueqing Liu
927a4eeae5 Update documentation for FAQ about how to handle imbalanced data (#560)
* Update website/docs/FAQ.md
2022-05-31 12:11:21 -07:00
Chi Wang
efd85b4c86 Deploy a new doc website (#338)
A new documentation website. And:

* add actions for doc

* update docstr

* installation instructions for doc dev

* unify README and Getting Started

* rename notebook

* doc about best_model_for_estimator #340

* docstr for keep_search_state #340

* DNN

Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>
Co-authored-by: Z.sk <shaokunzhang@psu.edu>
2021-12-16 17:11:33 -08:00