autogen

282 MB

Tree: 93b9e09166

Author	SHA1	Message	Date
Jirka Borovec	a701cd82f8	set black with 120 line length (#975 ) * set black with 120 line length * apply pre-commit * apply black	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	30e200985c	Fix issues related to zero-shot automl (#783 ) * skip in-search-space check for small max iter * resolve Pickle Transformer #730 * resolve default config unrecognized #784 * Change definition of init_config * copy points_to_evaluate * make test pass * check learner selector	3 years ago
Chi Wang	df01031cfe	Zero-shot AutoML (#468 ) * Prepare for release Co-authored-by: Moe Kayali <t-moekayali@microsoft.com> * bug fix * improve doc and code quality Co-authored-by: Qingyun Wu	4 years ago

5 Commits (93b9e091663e1fc7c7827638a25a2fbc4944ea46)