Qingyun Wu f6ae1331f5 metric constraints in flaml.automl (#479) ...

* metric constraints

* revise docstr

* fix docstr

* improve docstr

* Update flaml/automl.py

Co-authored-by: Chi Wang <wang.chi@microsoft.com>

* Update flaml/automl.py

Co-authored-by: Chi Wang <wang.chi@microsoft.com>

* Update flaml/automl.py

Co-authored-by: Chi Wang <wang.chi@microsoft.com>

* docstr

Co-authored-by: Qingyun Wu <qxw5138@psu.edu>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>

2022-03-12 00:39:35 -05:00

..

test_classification.py

don't init global search with points_to_evaluate unless evaluated_rewards is provided; handle callbacks in fit kwargs (#469)

2022-03-01 18:39:16 -08:00

test_constraints.py

metric constraints in flaml.automl (#479)

2022-03-12 00:39:35 -05:00

test_forecast.py

update documentation for time series forecasting (#472)

2022-03-08 11:21:18 -08:00

test_multiclass.py

data in csv (#430)

2022-01-30 19:36:41 -08:00

test_notebook_example.py

remove FLAML sample size from config (#418)

2022-01-22 22:59:44 -08:00

test_python_log.py

tune api for schedulers (#322)

2021-12-04 21:52:20 -05:00

test_regression.py

reproducibility for random sampling (#349)

2021-12-22 12:12:25 -08:00

test_split.py

Deploy a new doc website (#338)

2021-12-16 17:11:33 -08:00

test_training_log.py

max_iter < 2 -> no search; sign in metric constraints; test and example for forecasting (#415)

2022-01-23 01:24:15 -08:00

test_warmstart.py

reproducibility for random sampling (#349)

2021-12-22 12:12:25 -08:00

test_xgboost2d_sample_size.py

model_history, ITER_HP, settings in AutoML(), checkpoint bug fix (#283)

2021-11-18 09:39:45 -08:00

test_xgboost2d.py

tune api for schedulers (#322)

2021-12-04 21:52:20 -05:00