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Author SHA1 Message Date
Chi Wang
84f1ae7424
Bump minimist from 1.2.5 to 1.2.6 in /website (#502) 
* Bump minimist from 1.2.5 to 1.2.6 in /website

* check best_config in test
 2022-03-30 22:19:47 -07:00
Qingyun Wu
2cdc08a75a update notebook and test 2022-03-30 19:11:10 -07:00
Chi Wang
9128c8811a
handle failing trials (#505) 
* handle failing trials

* clarify when to return {}

* skip ensemble in accuracy check
 2022-03-28 16:57:52 -07:00
liususan091219
0bcf618fea fixing bug 2022-03-28 11:53:58 -07:00
Qingyun Wu
6c16e47e42
Bug fix and add documentation for metric_constraints (#498) 
* metric constraint documentation

* update link

* update notebook

* fix a bug in adding 'time_total_s' to result

* use the default multiple factor from config file

* update notebook

* format

* improve test

* revise test budget for macos

* bug fix in adding time_total_s

* increase performance check budget

* revise test

* update notebook

* uncomment test

* remove redundancy

* clear output

* remove n_jobs

* remove constraint in notebook

* increase budget

* revise test

* add python version

* use getattr

* improve code robustness

Co-authored-by: Qingyun Wu <qxw5138@psu.edu>
 2022-03-26 21:11:45 -04:00
Xueqing Liu
72301b8568
fixing a few bugs in nlp (#503) 
* fixing bugs in nlp
 2022-03-26 14:08:51 -04:00
Chi Wang
7eb7b46ea9
version number and doc (#497) 
* version number

* add missing tasks in documentation

* update node-forge version
 2022-03-25 17:32:37 -07:00
Xueqing Liu
5f97532986
adding evaluation (#495) 
* adding automl.score

* fixing the metric name in train_with_config

* adding pickle after score

* fixing a bug in automl.pickle
 2022-03-25 17:00:08 -04:00
Chi Wang
1d029436e7 doc update (#490) 2022-03-21 12:31:36 -07:00
Xueqing Liu
af423463c3
fixing bug for ner (#463) 
* fixing bug for ner

* removing global var

* adding class for trial counter

* adding notebook

* adding use_ray dict

* updating documentation for nlp
 2022-03-20 22:03:02 -04:00
Chi Wang
5f688c1662 lightgbm 2022-03-20 16:27:47 -07:00
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
Kevin Chen
f9eda0cc40
update documentation for time series forecasting (#472) 
* update automl.py
- documentation update

* update test_forecast.py

* update model.py

* update automl_time_series_forecast.ipynb

* update time series forecast website examples

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>
 2022-03-08 11:21:18 -08:00
Chi Wang
f0b0cae682
zero-shot AutoML in readme (#474) 
* zero-shot AutoML in readme

* use pydoc-markdown 4.5.0 to avoid error in 4.6.0
 2022-03-05 11:49:39 -08:00
Chi Wang
31ac984c4b
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
Chi Wang
df01031cfe
Zero-shot AutoML (#468) 
* Prepare for release

Co-authored-by: Moe Kayali <t-moekayali@microsoft.com>

* bug fix

* improve doc and code quality

Co-authored-by: Qingyun Wu
 2022-03-01 15:39:09 -08:00
Chi Wang
01ca0422ea Bump prismjs from 1.25.0 to 1.27.0 in /website 2022-02-26 16:09:43 -08:00
Chi Wang
e3e737c71a
make AutoML.classes_ an array (#467) 
* remove .tolist()

* docstr
 2022-02-25 22:13:41 -08:00
Chi Wang
6095be039f
update regression metrics in notebooks (#454) 2022-02-15 13:17:43 -08:00
Qingyun Wu
05f9065ade
Docstr update (#460) 
* parallel tuning docstr

* update n_concurrent_trials docstr

* n_jobs default

* parallel tuning in tune docstr
 2022-02-15 09:41:53 -08:00
Chi Wang
393106d531 Bump follow-redirects from 1.14.7 to 1.14.8 in /website 2022-02-15 08:24:37 -08:00
Camila Martinez Bedoya
dea2beec34 Update Getting-Started.md 
Solving issue #456 related to a typo on the webpage.
 2022-02-12 20:19:33 -08:00
Chi Wang
9e88f22167
fix a bug when using ray & update ray on aml (#455) 
* fix a bug when using ray & update ray on aml
When using with_parameters(), the config argument must be the first argument in the trainable function.
* make training function runnable standalone
 2022-02-11 20:14:10 -08:00
Chi Wang
b4d312412a
bump ray version to 1.10 (#450) 
* bump ray version to 1.10

* init ray in test

* Update setup.py to include hotfixes

Co-authored-by: Antoni Baum <antoni.baum@protonmail.com>
 2022-02-09 15:04:29 -08:00
MichaelMarien
a4970d279c
corrected typo in example xgboost documentation (#449) 2022-02-04 13:03:09 -08:00
vvijayalakshmi21
b930de0e1f
Update Tune-User-Defined-Function.md (#448) 
Fix for #445
 2022-02-03 09:40:57 -08:00
vvijayalakshmi21
34557de30c
Update Task-Oriented-AutoML.md (#447) 
Fix for issue #444
 2022-02-03 09:04:49 -08:00
vvijayalakshmi21
6d7c2e3e9b Update Task-Oriented-AutoML.md 
Fix Typo for issue 443
 2022-02-03 08:33:15 -08:00
Chi Wang
ba5d4d19f0
note about preview feature (#431) 2022-01-30 21:14:47 -08:00
Chi Wang
8a44dd4318
data in csv (#430) 
* data in csv

* support ray ObjectRef #365

* use object store to store data when using ray

* make lgbm tuning example a test

* homepage title
 2022-01-30 19:36:41 -08:00
Chi Wang
6960a833ec
Gpu support for xgboost (#442) 
* xgboost gpu support

* test xgboost gpu

* test sparse data

* add xgboost test

* remove ray.init to avoid pytest error
 2022-01-30 13:02:18 -08:00
Kevin Chen
c75f97b475
Change the upper bound for "lags" hyperparameter for sklearn forecast models (#437) 
* update model.py
- change upper bound for "lags" hyperparameter

* update test_forecast.py
- add a test for a large dataset

* update sample.py
- pre-commit changes
 2022-01-30 07:30:30 -08:00
Xueqing Liu
438ccaa0c9
adding catch for HTTP error (#432) 2022-01-29 22:53:32 -08:00
m13uz
1a479e4bdb fix a broken link in README.md 2022-01-29 20:18:49 -08:00
Chi Wang
99de9204b3
homepage update (#425) 
* homepage update

* update README
 2022-01-25 15:29:38 -08:00
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
 2022-01-24 18:39:36 -08:00
Xueqing Liu
4814091d87
remove redundant imports (#426) 
* remove redundant imports

* getting ride of hf dataset
 2022-01-24 14:24:14 -08:00
Chi Wang
6a7caa6a3d
max_iter < 2 -> no search; sign in metric constraints; test and example for forecasting (#415) 
* max_iter < 2 -> no search

* use_ray in test

* eval_method in ts example

* check sign of constraints

* test metric constraint sign
 2022-01-23 01:24:15 -08:00
Chi Wang
38ad31ea25
remove FLAML sample size from config (#418) 2022-01-22 22:59:44 -08:00
Antoni Baum
113539545c
Use Ray _BackwardsCompatibleNumpyRng if possible (#421) 2022-01-22 22:14:49 -08:00
Chi Wang
4e8b6b98b0 bump flaml version to 0.9.6 2022-01-22 17:15:52 -08:00
Chi Wang
d2b2f98a0d bump version of node-fetch to 3.1.1 in website/ 2022-01-22 17:15:52 -08:00
Chi Wang
66bbe782ee Bump nanoid from 3.1.30 to 3.2.0 in /website 2022-01-22 08:58:53 -08:00
Xueqing Liu
47d2295fb7
Set use_ray to True for logging to databricks (#414) 
* fixing use_ray bug
 2022-01-18 18:37:35 -08:00
Z.sk
bb6cd73fb5
Merge pull request #3 from microsoft/main 
update
 2022-01-18 09:30:36 +08:00
Xueqing Liu
3ef758cd7b
reducing AutoConfig.from_pretrained (#411) 
* reducing AutoConfig.from_pretrained
 2022-01-17 11:44:11 -08:00
MichaelMarien
1c911da9f8
Sklearn api x (#405) 
* changed signature of automl.predict and automl.predict_proba to X

* XGBoostEstimator

* changed signature of Prophet predict to X

* changed signature of ARIMA predict to X

* changed signature of TS_SKLearn_Regressor predict to X
 2022-01-16 14:37:56 -08:00
Chi Wang
a6d70efff7
Bump shelljs from 0.8.4 to 0.8.5 in /website (#402) 2022-01-16 09:41:11 -08:00
Xueqing Liu
cb9c7b0d16
adding logging of training loss (#406) 
* reducing AutoTokenizer load to only once

* fixing early stop bug
 2022-01-16 09:07:31 -08:00
Qingyun Wu
8f0737c57c
update browser icon (#407) 
* update ico
 2022-01-15 14:44:42 -08:00