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32 Commits

Author SHA1 Message Date
Anonymous-submission-repo
2daaa4c637 clean up 2022-10-15 03:53:08 +00:00
Anonymous-submission-repo
585bde1ce6 Merge branch 'LexiFlow' of https://github.com/Anonymous-submission-repo/FLAML into LexiFlow 2022-10-14 20:43:50 +00:00
Anonymous-submission-repo
bf81912f09 update 2022-10-14 20:40:49 +00:00
Chi Wang
cafb67123a Merge branch 'main' into LexiFlow 2022-10-14 11:04:18 -07:00
Susan Xueqing Liu
2ebddd67ae Remove NLP classification head (#756) 
* rm classification head in nlp

* rm classification head in nlp

* rm classification head in nlp

* adding test cases for switch classification head

* adding test cases for switch classification head

* Update test/nlp/test_autohf_classificationhead.py

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

* adding test cases for switch classification head

* run each test separately

* skip classification head test on windows

* disabling wandb reporting

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* Update website/docs/Examples/AutoML-NLP.md

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

* Update website/docs/Examples/AutoML-NLP.md

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

* fix test nlp custom metric

Co-authored-by: Chi Wang <wang.chi@microsoft.com>
 2022-10-12 17:04:42 -07:00
Anonymous-submission-repo
2d18c49cdd update 2022-10-12 04:31:51 +00:00
Anonymous-submission-repo
9bc32acafb first 2022-10-09 11:39:29 -04:00
Jason Swinehart
74557472ec Fix issue 728 add hyperlink to GitHub location (#731) 
* added hyperlink to github of example code
 2022-09-14 10:01:12 -07:00
Kevin Chen
2e8e3937ef update time series forecast notebook (#682) 
* update forecasting with exogeneous variables example

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update forecasting with exogeneous variables example on website

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* rerun automl_time_series_forecast with new predict function for tft

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* correct spelling error

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>
 2022-08-13 18:58:45 -07:00
Kevin Chen
f718d18b5e time series forecasting with panel datasets (#541) 
* time series forecasting with panel datasets
- integrate Temporal Fusion Transformer as a learner based on pytorchforecasting

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update setup.py

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update test_forecast.py

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update setup.py

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update setup.py

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update model.py and test_forecast.py
- remove blank lines

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update model.py to prevent errors

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update automl.py and data.py
- change forecast task name
- update documentation for fit() method

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update test_forecast.py

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update test_forecast.py
- add performance test
- use 'fit_kwargs_by_estimator'

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* add time index function

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update test_forecast.py performance test

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update data.py

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update automl.py

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update data.py to prevent type error

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update setup.py

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update for pytorch forecasting tft on panel datasets

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update automl.py documentations

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* - rename estimator
- add 'gpu_per_trial' for tft estimator

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update test_forecast.py

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* include ts panel forecasting as an example

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update model.py

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update documentations

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update automl_time_series_forecast.ipynb

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update documentations

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* "weights_summary" argument deprecated and removed for pl.Trainer()

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update model.py tft estimator prediction method

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update model.py

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update `fit_kwargs` documentation

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* update automl.py

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
 2022-08-12 08:39:22 -07:00
Rui Zhuang
b6e8b9ccca Add pipeline tuner component and dependencies. (#671) 
* add pipeline tuner component and dependencies.

* clean code.

* do not need force rerun.

* replace the resources.

* update metrics retrieving.

* Update test/pipeline_tuning_example/requirements.txt

* Update test/pipeline_tuning_example/train/env.yaml

* Update test/pipeline_tuning_example/tuner/env.yaml

* Update test/pipeline_tuning_example/tuner/tuner_func.py

* Update test/pipeline_tuning_example/data_prep/env.yaml

* fix issues found by lint with flake8.

* add documentation

* add data.

* do not need AML resource for local run.

* AML -> AzureML

* clean code.

* Update website/docs/Examples/Tune-AzureML pipeline.md

* rename and add pip install.

* update figure name.

* align docs with code.

* remove extra line.
 2022-08-10 20:20:21 -07:00
Xueqing Liu
5eb5d43d7f Fix HPO evaluation bug (#645) 
* fix eval automl metric bug on val_loss inconsistency

* updating starting point search space to continuous

* shortening notebok
 2022-07-28 23:08:42 -04:00
Chi Wang
e14e909af9 Feature names and importances (#621) 
* feature names and importances

* None check

* StackingClassifier has no feature_importances_

* StackingClassifier has no feature_names_in_
 2022-07-10 12:25:59 -07:00
Xueqing Liu
6108493e0b fix ner bug; refactor post processing of TransformersEstimator prediction (#615) 
* fix ner bug; refactor post processing

* fix too many values to unpack

* supporting id/token label for NER
 2022-07-05 13:38:21 -04:00
Sanskrati
6dd93bc939 Add space after comma (#623) 
Add space after comma in 'subscription_id='<azure-subscription-id>',resource_group='myresourcegroup')'
 2022-07-02 09:04:32 -07:00
Zvi Baratz
fefdb48ef3 Fix automl settings in scikit-learn pipeline integration example (#602) 
* Added test directory and core file to gitignore.

Closes #601.

* Fixed pipeline fit parameters.

Closes #600.

* Reverted changes to gitignore.
 2022-06-22 19:44:14 -07:00
Chi Wang
c9bac02ea4 add zeroshot notebook (#569) 
* add zeroshot notebook
 2022-06-04 12:00:58 -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
Chi Wang
e877de6414 use ffill in forecasting example 2022-04-01 09:23:23 -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
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
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
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
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
MichaelMarien
a4970d279c corrected typo in example xgboost documentation (#449) 2022-02-04 13:03:09 -08:00
Chi Wang
ba5d4d19f0 note about preview feature (#431) 2022-01-30 21:14:47 -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
8602def1c4 logging (#371) 
* query logged runs

* mlflow log when using ray

* key check for newer version of ray #363

* catch importerror

* log and load AutoML model

* retrain if necessary when ensemble fails
 2022-01-02 21:37:19 -08:00
Chi Wang
300f286667 azureml + ray (#344) 
* examples and documentation about how to use azureml + ray
 2021-12-23 13:37:07 -08:00
Chi Wang
baa0359324 doc update (#352) 
* custom splitter
* NLP
* version number
 2021-12-22 14:35:13 -08:00
Xueqing Liu
ee3162e232 Adding the NLP task summarization (#346) 
* Add test_autohf_summarization.py

* adding seq2seq

* Update flaml/nlp/huggingface/trainer.py

* rouge metrics

Co-authored-by: XinZofStevens <xzhao4346@gmail.com>
Co-authored-by: JinzhuoWu <wujinzhuo0105@gmail.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
 2021-12-20 14:19:32 -08:00
Chi Wang
efd85b4c86 Deploy a new doc website (#338) 
A new documentation website. And:

* add actions for doc

* update docstr

* installation instructions for doc dev

* unify README and Getting Started

* rename notebook

* doc about best_model_for_estimator #340

* docstr for keep_search_state #340

* DNN

Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>
Co-authored-by: Z.sk <shaokunzhang@psu.edu>
 2021-12-16 17:11:33 -08:00