Chi Wang a1c49ca27b allow evaluated_rewards shorter than points_to_evaluate (#522) ...

* allow evaluated_rewards shorter than points_to_evaluate

* docstr update

2022-04-23 16:22:34 -07:00

..

.Docker

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

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

automl

use ffill in forecasting example

2022-04-01 09:23:23 -07:00

default

Zero-shot AutoML (#468)

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

nlp

handle failing trials (#505)

2022-03-28 16:57:52 -07:00

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

allow evaluated_rewards shorter than points_to_evaluate (#522)

2022-04-23 16:22:34 -07:00

__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

fixing a few bugs in nlp (#503)

2022-03-26 14:08:51 -04:00

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

fixing bug for ner (#463)

2022-03-20 22:03:02 -04:00

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