Xueqing Liu
e0e317bfb1
fixing trainable and update function, completing NOTE ( #566 )
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* 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
1af682b7f5
update doc about scheduler exception ( #564 )
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* update doc about scheduler exception
* remove assert
2022-05-31 17:21:57 -07:00
Chi Wang
49e8f7f028
use zeroshot when no budget is given; custom_hp ( #563 )
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* use zeroshot when no budget is given; custom_hp
* update Getting-Started
* protobuf version
* X_val
2022-05-28 17:22:09 -07:00
Qingyun Wu
dcc640c1a3
Documentation, test and bugfix ( #556 )
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* 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
Qiaochu Song
2851134052
Quick-fix ( #539 )
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* 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 )
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* 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
2a8decdc50
fix the post-processing bug in NER ( #534 )
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* 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 )
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* 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
Chi Wang
dab0a3f6e5
Bump cross-fetch from 3.1.4 to 3.1.5 in /website ( #529 )
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* 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 )
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* 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
a1c49ca27b
allow evaluated_rewards shorter than points_to_evaluate ( #522 )
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* allow evaluated_rewards shorter than points_to_evaluate
* docstr update
2022-04-23 16:22:34 -07:00
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 )
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* 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 )
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* handle failing trials
* clarify when to return {}
* skip ensemble in accuracy check
2022-03-28 16:57:52 -07:00
Qingyun Wu
6c16e47e42
Bug fix and add documentation for metric_constraints ( #498 )
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* 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 )
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* fixing bugs in nlp
2022-03-26 14:08:51 -04:00
Chi Wang
7eb7b46ea9
version number and doc ( #497 )
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* 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 )
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* 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
Xueqing Liu
af423463c3
fixing bug for ner ( #463 )
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* 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
Qingyun Wu
f6ae1331f5
metric constraints in flaml.automl ( #479 )
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* 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 )
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* 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
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 )
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* 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 )
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* 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 )
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* 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
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
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
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
Xueqing Liu
f41f1c2198
Logging multiple checkpoints ( #394 )
2022-01-12 19:50:39 -08:00
Xueqing Liu
bd66e40296
fixing load best model at the end ( #389 )
2022-01-11 10:47:53 -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
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
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
