Qingyun Wu e24265ee5d automl fit with starting points (#141) ...

* add starting point in fit

* add estimator best config

* add test

* add doc string

* when there are multiple points_to_evaluate in CFO, use the best one to start local search; after that use low cost partial config as the start point; then, remove the points whose performance is worse than the converged, and start local search from the remaining ones ordered by their performance.

Co-authored-by: Qingyun Wu <qingyunwu@Qingyuns-MacBook-Pro-2.local>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>

2021-07-31 13:39:31 -07:00

..

__init__.py

constraints (#88)

2021-05-18 15:57:42 -07:00

test_tune.py

automl fit with starting points (#141)

2021-07-31 13:39:31 -07:00