autogen

282 MB

Tree: f01acb67f6

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
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
Kevin Chen	81f54026c9	Support time series forecasting for discrete target variable (#416 ) * support 'ts_forecast_classification' task to forecast discrete values * update test_forecast.py - add test for forecasting discrete values * update test_model.py * pre-commit changes	4 years ago
Chi Wang	569908fbe6	fix issues in logging, bug in space.py, constraint sign, and improve code coverage (#388 ) * console log handler * version update * doc * skippable steps * notebook update * constraint sign * doc for constraints * bug fix: define-by-run and unflatten_hierarchical * const * handle nested space in indexof() * test grid search * test suggestion * model test * >1 ckpts * always increase iter count * log total # iterations * security patch * make iter_per_learner consistent	4 years ago

4 Commits (f01acb67f634ff936066618bc1d3c19c3296d1e3)