vvijayalakshmi21
6d7c2e3e9b
Update Task-Oriented-AutoML.md
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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 )
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* 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 )
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* 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 )
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* 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 )
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* homepage update
* update README
2022-01-25 15:29:38 -08:00
Kevin Chen
81f54026c9
Support time series forecasting for discrete target variable ( #416 )
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* 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 )
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* 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 )
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* 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 )
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* fixing use_ray bug
2022-01-18 18:37:35 -08:00
Z.sk
bb6cd73fb5
Merge pull request #3 from microsoft/main
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update
2022-01-18 09:30:36 +08:00
Xueqing Liu
3ef758cd7b
reducing AutoConfig.from_pretrained ( #411 )
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* reducing AutoConfig.from_pretrained
2022-01-17 11:44:11 -08:00
MichaelMarien
1c911da9f8
Sklearn api x ( #405 )
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* 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 )
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* 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 )
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* update ico
2022-01-15 14:44:42 -08:00
Qingyun Wu
ac16c31000
Logo ( #399 )
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* add logo
* update link to file
* Update README.md
* del png
* update website logo
* update icon
Co-authored-by: Qingyun Wu <qxw5138@psu.edu>
Co-authored-by: 张少坤 <zhangshaokun@fuzhi.ai>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
2022-01-14 21:32:04 -08:00
Xueqing Liu
31645187f3
Update flaml/nlp/README.md ( #404 )
2022-01-14 17:55:38 -08:00
Xueqing Liu
dda4ac90a1
moving intermediate_results logging from model.py to huggingface/trainer.py ( #403 )
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* replacing val_loss with automl_metric
2022-01-14 17:26:10 -08:00
Chi Wang
569908fbe6
fix issues in logging, bug in space.py, constraint sign, and improve code coverage ( #388 )
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* console log handler
* version update
* doc
* skippable steps
* notebook update
* constraint sign
* doc for constraints
* bug fix: define-by-run and unflatten_hierarchical
* const
* handle nested space in indexof()
* test grid search
* test suggestion
* model test
* >1 ckpts
* always increase iter count
* log total # iterations
* security patch
* make iter_per_learner consistent
2022-01-14 13:39:09 -08:00
Z.sk
d7ff258b89
Merge pull request #2 from microsoft/main
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update
2022-01-14 23:07:06 +08:00
Xueqing Liu
c1b5cb5348
fixing default metric for regression + change verbosity for transformers ( #397 )
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* fixing default metric for regression + change verbosity for transformers
* fixing per_device_train_batch_size
* Update flaml/automl.py for gpu_per_trial
2022-01-13 21:08:51 -08:00
Chi Wang
8e72904b9e
postcss version update ( #385 )
2022-01-12 22:24:17 -08:00
Xueqing Liu
f41f1c2198
Logging multiple checkpoints ( #394 )
2022-01-12 19:50:39 -08:00
liususan091219
303d40c76c
set verbose for transformers
2022-01-11 21:42:27 -08:00
Kevin Chen
99667dad5f
Regression forecast debug ( #391 )
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* update automl.py
- fix bug with removing "catboost"
2022-01-11 13:16:59 -08:00
Xueqing Liu
bd66e40296
fixing load best model at the end ( #389 )
2022-01-11 10:47:53 -08:00
Z.sk
b66930e4f0
Merge pull request #1 from microsoft/main
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update
2022-01-11 08:32:50 +08:00
Xueqing Liu
c54c1246c6
fixing auto metric bug ( #387 )
2022-01-07 16:25:58 -08:00
Kevin Chen
d4273669e6
Time series forecasting with sklearn regressors ( #362 )
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* add sklearn regressors as learners for ts_forecast task
* add direct forecasting strategy
warnings and errors for duplicate rows and missing values
- add preprocess for sklearn time series forecast
update automl.py
update test/test_forecast.py
* update model.py and test_forecast.py for cv eval_method
* add "hcrystalball" dependency in setup.py
* update automl.py
- add _validate_ts_data function for abstraction
- include xgb_limitdepth as a learner
* update model.py
- update search space for sklearn ts regressors
* update automl.py and test_forecast.py for numpy array inputs
* add documentations to model.py
* add documentation for removing catboost regressor
* update automl.py
- _validate_ts_data() function
Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>
2022-01-06 23:12:38 -08:00
Chi Wang
612668e8ed
serialize TransformerEstimator ( #381 )
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* serialize TransformerEstimator
* check has_attr
* custom metric needs trainer
* skip test on mac
2022-01-06 10:28:19 -08:00
Chi Wang
cd9740f022
Fix several issues for nlp tasks ( #380 )
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* num cpu issue #378 ;
* temp fix for ray issue #379 ;
* transformers version.
2022-01-05 13:49:12 -08:00
Chi Wang
8593a3fe27
citation file ( #364 )
2022-01-04 15:13:14 -08:00
Xueqing Liu
207b6935d9
adding token classification ( #376 )
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* adding ner
2022-01-03 13:44:10 -05:00
Chi Wang
8602def1c4
logging ( #371 )
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* 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
oberonbot
9c00e4272a
Finish the Multiple Choice Classification ( #367 )
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* adding multiple choice
* update test cases (hard coded)
* merged common code in predict_proba and predict in TransformersEstimator
2022-01-02 20:12:34 -05:00
Chi Wang
2f5d6169d3
example update ( #359 )
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update some examples for consistencies with others.
2021-12-25 16:13:39 -08:00
Xueqing Liu
b2900f4b22
fixing custom metric ( #357 )
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* fixing the error for custom metric
2021-12-24 16:23:09 -05:00
Rui Zhuang
c6c0c29769
Simplify lgbm example ( #358 )
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* simplify lgbm examples
* provide link to lgbm example script.
* simply lgbm example in the example script.
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
2021-12-23 23:05:14 -08:00
Xueqing Liu
dcfd218108
Fixing the bug in custom metric ( #356 )
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* fixing the bug for custom metric
2021-12-23 18:44:53 -05:00
Chi Wang
300f286667
azureml + ray ( #344 )
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* examples and documentation about how to use azureml + ray
2021-12-23 13:37:07 -08:00
Chi Wang
baa0359324
doc update ( #352 )
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* custom splitter
* NLP
* version number
2021-12-22 14:35:13 -08:00
Chi Wang
0b25e89f29
reproducibility for random sampling ( #349 )
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* reproducibility for random sampling #236
* doc update
2021-12-22 12:12:25 -08:00
