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Author SHA1 Message Date
Chi Wang
0642b6e7bb
init value type match (#575) 
* init value type match

* bump version to 1.0.6

* add a note about flaml version in notebook

* add note about mismatched ITER_HP

* catch SSLError when accessing OpenML data

* catch errors in autovw test

Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>
 2022-06-09 08:11:15 -07:00
zsk
cc3e9ae968
Merge branch 'microsoft:main' into main 2022-06-08 22:35:14 -04:00
Chi Wang
619107edf5 install openml for notebook example 2022-06-05 22:52:20 -07:00
Prajwal Borkar
18f692281a
Updated doc (#572) 
* Update website/docs/FAQ.md
 2022-06-05 11:03:26 -07:00
Chi Wang
2d31138191
set holiday version <0.14 for prophet (#573) 
* set holiday version <0.14 for prophet

* bump version to 1.0.5
 2022-06-05 09:53:18 -07:00
Chi Wang
c9bac02ea4
add zeroshot notebook (#569) 
* add zeroshot notebook
 2022-06-04 12:00:58 -07:00
Xueqing Liu
9d164a0119
Update fit_kwargs_by_estimator example in Task-Oriented-AutoML.md (#561) 
* Update Task-Oriented-AutoML.md
 2022-06-03 20:05:02 -04:00
Xueqing Liu
e0e317bfb1
fixing trainable and update function, completing NOTE (#566) 
* fix checkpoint naming + trial id for non-ray mode, fix the bug in running test mode, delete all the checkpoints in non-ray mode

* finished testing for checkpoint naming, delete checkpoint, ray, max iter = 1
 2022-06-03 15:19:22 -04:00
Chi Wang
c79c07f450 version update 2022-06-02 12:43:59 -07:00
Chi Wang
1af682b7f5
update doc about scheduler exception (#564) 
* update doc about scheduler exception

* remove assert
 2022-05-31 17:21:57 -07:00
Xueqing Liu
927a4eeae5
Update documentation for FAQ about how to handle imbalanced data (#560) 
* Update website/docs/FAQ.md
 2022-05-31 12:11:21 -07:00
Chi Wang
d747800509 include .json file in flaml.default package 2022-05-31 06:56:58 -07:00
zsk
6e76974823
Merge branch 'microsoft:main' into main 2022-05-29 02:06:17 -04:00
Chi Wang
c35b844030
simplify warmstart in blendsearch (#558) 
* simplify warmstart in blendsearch

* bump version to 1.0.3
 2022-05-28 19:17:40 -07:00
Chi Wang
49e8f7f028
use zeroshot when no budget is given; custom_hp (#563) 
* use zeroshot when no budget is given; custom_hp

* update Getting-Started

* protobuf version

* X_val
 2022-05-28 17:22:09 -07:00
Chi Wang
7748e0ff49
Update Tune-User-Defined-Function.md (#562) 
Added one more use case of tune.
 2022-05-26 11:13:08 -07:00
Prajwal Borkar
f8babac21b
Removed cat_hp_host (#559) 2022-05-26 10:21:51 -07:00
Qingyun Wu
dcc640c1a3
Documentation, test and bugfix (#556) 
* add bs restore test

* use default metric when not provided

* update documentation

* remove print

* period

* remove bs restore test

* Update website/docs/Use-Cases/Task-Oriented-AutoML.md
 2022-05-26 07:12:30 -07:00
LinWencong
515a77ac71
solve issue #542. fix pickle.UnpickingError while blendsearch warm start (#554) 
Issue I encountered:

#542 run test_restore.py and got _pickle.UnpicklingError: state is not a dictionary

I observed:

1. numpy version
  i. When numpy==1.16*, np.random.RandomState.__getstate__() returns a tuple, not a dict.
    _pickle.UnpicklingError occurs
  ii. When numpy>1.17.0rc1, it returns a dict;
    _pickle.UnpicklingError does not occur
  iii. When numpy>1.17.0rc1, flaml uses np_random_generator = np.random.Generator,
    _pickle.UnpicklingError does not occur

2. class _BackwardsCompatibleNumpyRng
  When I remove func _BackwardsCompatibleNumpyRng.__getattr__() , _pickle.UnpicklingError doesn't occur (regardless of numpy version == 1.16* or 1.17*)

To sum up,
I think making modifications to class _BackwardsCompatibleNumpyRng is not a good choice (_BackwardsCompatibleNumpyRng came from ray）and we still need to learn more about the operation mechanism of pickle.

So I upgraded the numpy version that flaml requires：
  setup.py："NumPy>=1.17.0rc1"
 2022-05-23 11:23:00 -07:00
Chi Wang
d402c63312
align indent and add missing quotation (#555) 
* align indent and add missing quotation
 2022-05-20 10:49:39 -07:00
harish445
992ea3416c
fix indentation in automl.py (#553) 
* fix indentation in flaml.py
 2022-05-19 16:29:45 -07:00
Qiaochu Song
2851134052
Quick-fix (#539) 
* fix doc string; enable label transform in automl.score
 2022-05-19 11:43:34 -04:00
Chi Wang
7126b69ce0
choose n_jobs for ensemble according to n_jobs per learner (#551) 
* set n_jobs in ensemble dict

* catch the ensemble error

* choose n_jobs for stacker

* clarify
 2022-05-18 21:01:51 -07:00
Xueqing Liu
2ca9e41e4b
fixing roberta add_prefix_space bug (#546) 
* fixing roberta add_prefix_space bug
 2022-05-12 10:57:25 -04:00
Xueqing Liu
2a8decdc50
fix the post-processing bug in NER (#534) 
* fix conll bug

* update DataCollatorForAuto

* adding label_list comments
 2022-05-10 17:22:57 -04:00
Chi Wang
c1bb66980c
test reproducibility from retrain (#533) 2022-05-07 09:13:17 -07:00
Qingyun Wu
bcdfdc8735
handle non-flaml scheduler in flaml.tune (#532) 
* handle non-flaml scheduler in flaml.tune

* revise time budget

* Update website/docs/Use-Cases/Tune-User-Defined-Function.md

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

* Update website/docs/Use-Cases/Tune-User-Defined-Function.md

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

* Update flaml/tune/tune.py

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

* add docstr

* remove random seed

* StopIteration

* StopIteration format

* format

* Update flaml/tune/tune.py

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

* revise docstr

Co-authored-by: Chi Wang <wang.chi@microsoft.com>
 2022-05-06 14:09:35 -04:00
Xueqing Liu
c1e1299855
fixing use_ray in automl.py (#531) 
* fixing use_ray
 2022-05-02 08:05:23 -07:00
Chi Wang
dab0a3f6e5
Bump cross-fetch from 3.1.4 to 3.1.5 in /website (#529) 
* Bump cross-fetch from 3.1.4 to 3.1.5 in /website

* Bump async from 2.6.3 to 2.6.4 in /website

* cleanup
 2022-04-30 11:54:43 -07:00
Xueqing Liu
ca35fa969f
refactoring TransformersEstimator to support default and custom_hp (#511) 
* refactoring TransformersEstimator to support default and custom_hp

* handling starting_points not in search space

* addressing starting point more than max_iter

* fixing upper < lower bug
 2022-04-28 14:06:29 -04:00
Jaden Kropp
d03038bfcb
docstr cleanup #523: removed lines 259 to 260 in a1c49ca (#524) 2022-04-27 07:50:38 -07:00
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
Chi Wang
f301bf8d8f
max choice is n-1 (#521) 
close #520
 2022-04-23 15:33:35 -07:00
Jay Shankar
46f80dfa16 Fix AttributeError: readonly attribute for Python 3.10.4 2022-04-15 15:01:06 -07:00
Xueqing Liu
cfed657812
Handling fractional gpu_per_trial for NLP (#513) 
* handling fractional gpu_per_trial
 2022-04-12 14:46:14 -04:00
Chi Wang
e877de6414 use ffill in forecasting example 2022-04-01 09:23:23 -07:00
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