autogen

282 MB

Tree: 0cb79dfdff

Author	SHA1	Message	Date
Chi Wang	a0b318b12e	create an automl option to remove unnecessary dependency for autogen and tune (#1007 ) * version update post release v1.2.2 * automl option * import pandas * remove automl.utils * default * test * type hint and version update * dependency update * link to open in colab * use packging.version to close #725 --------- Co-authored-by: Li Jiang <lijiang1@microsoft.com> Co-authored-by: Li Jiang <bnujli@gmail.com>	3 years ago
Jirka Borovec	2ff1035733	precommit: end-of-file-fixer (#929 ) * precommit: end-of-file-fixer * exclude .gitignore * apply --------- Co-authored-by: Shaokun <shaokunzhang529@gmail.com>	3 years ago
Mark Harley	44ddf9e104	Refactor into automl subpackage (#809 ) * Refactor into automl subpackage Moved some of the packages into an automl subpackage to tidy before the task-based refactor. This is in response to discussions with the group and a comment on the first task-based PR. Only changes here are moving subpackages and modules into the new automl, fixing imports to work with this structure and fixing some dependencies in setup.py. * Fix doc building post automl subpackage refactor * Fix broken links in website post automl subpackage refactor * Fix broken links in website post automl subpackage refactor * Remove vw from test deps as this is breaking the build * Move default back to the top-level I'd moved this to automl as that's where it's used internally, but had missed that this is actually part of the public interface so makes sense to live where it was. * Re-add top level modules with deprecation warnings flaml.data, flaml.ml and flaml.model are re-added to the top level, being re-exported from flaml.automl for backwards compatability. Adding a deprecation warning so that we can have a planned removal later. * Fix model.py line-endings * Pin pytorch-lightning to less than 1.8.0 We're seeing strange lightning related bugs from pytorch-forecasting since the release of lightning 1.8.0. Going to try constraining this to see if we have a fix. * Fix the lightning version pin Was optimistic with setting it in the 1.7.x range, but that isn't compatible with python 3.6 * Remove lightning version pin * Revert dependency version changes * Minor change to retrigger the build * Fix line endings in ml.py and model.py Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu> Co-authored-by: EgorKraevTransferwise <egor.kraev@transferwise.com>	3 years ago
Chi Wang	92b79221b6	make performance test reproducible (#837 ) * make performance test reproducible * fix test error * Doc update and disable logging * document random_state and version * remove hardcoded budget * fix test error and dependency; close #777 * iloc	3 years ago
Chi Wang	e14e909af9	Feature names and importances (#621 ) * feature names and importances * None check * StackingClassifier has no feature_importances_ * StackingClassifier has no feature_names_in_	4 years ago
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>	4 years ago

6 Commits (0cb79dfdffbbbddccfb1220ca9b6f5563e8402bb)