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

..

.Docker

fix a bug when using ray & update ray on aml (#455)

2022-02-11 20:14:10 -08:00

automl

metric constraints in flaml.automl (#479)

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

default

Zero-shot AutoML (#468)

2022-03-01 15:39:09 -08:00

nlp

bump ray version to 1.10 (#450)

2022-02-09 15:04:29 -08:00

nni

Make NLP tasks available from AutoML.fit() (#210)

2021-11-16 11:06:20 -08:00

ray

fix a bug when using ray & update ray on aml (#455)

2022-02-11 20:14:10 -08:00

tune

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

__init__.py

v0.1.0

2020-12-04 09:40:27 -08:00

default_lgbm.py

Zero-shot AutoML (#468)

2022-03-01 15:39:09 -08:00

default_xgb.py

Zero-shot AutoML (#468)

2022-03-01 15:39:09 -08:00

load_args.py

Make NLP tasks available from AutoML.fit() (#210)

2021-11-16 11:06:20 -08:00

object_store.py

data in csv (#430)

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

rank.py

Deploy a new doc website (#338)

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

reg.py

Deploy a new doc website (#338)

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

rep.py

reproducibility for random sampling (#349)

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

run_distribute_automl.py

fix a bug when using ray & update ray on aml (#455)

2022-02-11 20:14:10 -08:00

run_distribute_tune.py

fix a bug when using ray & update ray on aml (#455)

2022-02-11 20:14:10 -08:00

run_electra.py

Finish the Multiple Choice Classification (#367)

2022-01-02 20:12:34 -05:00

test_autovw.py

Make NLP tasks available from AutoML.fit() (#210)

2021-11-16 11:06:20 -08:00

test_conda_distribution.py

reproducibility for random sampling (#349)

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

test_gpu.py

Gpu support for xgboost (#442)

2022-01-30 13:02:18 -08:00

test_model.py

Support time series forecasting for discrete target variable (#416)

2022-01-24 18:39:36 -08:00

test_version.py

Make NLP tasks available from AutoML.fit() (#210)

2021-11-16 11:06:20 -08:00

tune_example.py

data in csv (#430)

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