autogen

282 MB

Tree: 9e2eb200df

Author	SHA1	Message	Date
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
Xueqing Liu	ca35fa969f	refactoring TransformersEstimator to support default and custom_hp (#511 ) * refactoring TransformersEstimator to support default and custom_hp * handling starting_points not in search space * addressing starting point more than max_iter * fixing upper < lower bug	4 years ago
Xueqing Liu	72301b8568	fixing a few bugs in nlp (#503 ) * fixing bugs in nlp	4 years ago
Xueqing Liu	af423463c3	fixing bug for ner (#463 ) * fixing bug for ner * removing global var * adding class for trial counter * adding notebook * adding use_ray dict * updating documentation for nlp	4 years ago
Xueqing Liu	42de3075e9	Make NLP tasks available from AutoML.fit() (#210 ) Sequence classification and regression: "seq-classification" and "seq-regression" Co-authored-by: Chi Wang <wang.chi@microsoft.com>	4 years ago

5 Commits (9e2eb200dfd33ec8fc24f7b1f4bf3f1d45aee38e)