v1.0.9

Highlight

• Add the feature names and importance in AutoML
• Update NLP search space and fix several bugs in NLP tasks
• Respect kwargs in AutoML.predict()

What's Changed

• Feature names and importances by @sonichi in #621
• fix NER roberta bug by @liususan091219 in #632
• updating search space by @liususan091219 in #633
• Bump terser from 5.10.0 to 5.14.2 in /website by @dependabot in #642
• This PR fixes the frequent NLP bugs in the other PRs by @liususan091219 in #647
• added "**kwargs" to "predict" by @zzheng93 in #641
• Fix alerts by @skzhang1 in #644
• Update .NET documentation by @luisquintanilla in #643
• Fix HPO evaluation bug by @liususan091219 in #645

New Contributors

• @dependabot made their first contribution in #642
• @zzheng93 made their first contribution in #641
• @luisquintanilla made their first contribution in #643

Full Changelog: v1.0.8...v1.0.9

v1.0.8

• Support latest xgboost version
• Reproducibility improvement for blendsearch
• Allow custom GroupKFold object as split_type
• Bug fix in token classification tasks such as NER
• Allow FLAML_sample_size in starting_points

What's Changed

• log msg about ensemble by @sonichi in #597
• support latest xgboost version by @sonichi in #599
• Fix automl settings in scikit-learn pipeline integration example by @ZviBaratz in #602
• update got version by @sonichi in #607
• min eci depends on cost_attr; cost_attr in ls by @sonichi in #612
• Replaced !pip calls with %pip magic command by @ZviBaratz in #604
• cath URLError by @sonichi in #613
• Updated pre-commit hooks by @ZviBaratz in #609
• Py36 by @sonichi in #614
• Allow custom GroupKFold object as split_type by @sonichi in #616
• Typo fix by @ZviBaratz in #618
• use relative url in doc by @sonichi in #620
• This PR will solve issue, code example format in the doc #622 by @31Sanskrati in #623
• fix ner bug; refactor post processing of TransformersEstimator prediction by @liususan091219 in #615
• isinstance(x, int) -> isinstance(x, (int, np.integer)) by @liususan091219 in #627
• Allow FLAML_sample_size in starting_points by @qingyun-wu in #619
• disable max_len for ner by @liususan091219 in #629
• fix #630 by @adi611 in #631

New Contributors

• @ZviBaratz made their first contribution in #602
• @31Sanskrati made their first contribution in #623
• @adi611 made their first contribution in #631

Full Changelog: v1.0.7...v1.0.8

v1.0.7

• Add support of Python 3.10.
• Enable ensemble when using ray.
• Enable nested tuning runs.
• Made BlendSearch reproducible when constructed outside tune.run().
• Fix resource limit issue in some macos version.
• Bug fix in nlp.
• Make set_search_properties() compatible with ray tune.

What's Changed

• enable ensemble when using ray by @sonichi in #583
• update time from start when using ray by @sonichi in #586
• Class variables, cost_attr, and reproducibility by @qingyun-wu in #587
• backup & recover global vars for nested tune.run by @sonichi in #584
• fixing a bug in nlp/utils.py by @liususan091219 in #590
• fix resource limit issue by @sonichi in #589
• Modified setup instructions by @daniel-555 in #593
• Add python 3.10 in the CI by @sonichi in #591
• trying to fix the indexerror for ner by @liususan091219 in #596
• Update documentation for NLP by @liususan091219 in #594
• set_search_properties by @sonichi in #595

New Contributors

• @daniel-555 made their first contribution in #593

Full Changelog: v1.0.6...v1.0.7

v1.0.6

What's Changed

• init value type match by @sonichi in #575

Full Changelog: v1.0.5...v1.0.6

v1.0.5

What's Changed

• fixing trainable and update function, completing NOTE by @liususan091219 in #566
• Update fit_kwargs_by_estimator example in Task-Oriented-AutoML.md by @liususan091219 in #561
• add zeroshot notebook by @sonichi in #569
• set holiday version <0.14 for prophet by @sonichi in #573
• Updated doc by @PrajwalBorkar in #572
• install openml for notebook example by @sonichi in #574

Full Changelog: v1.0.4...v1.0.5

v1.0.4

What's Changed

• Update documentation for FAQ about how to handle imbalanced data by @liususan091219 in #560
• update doc about scheduler exception by @sonichi in #564
• version update by @sonichi in #567

Full Changelog: v1.0.3...v1.0.4

v1.0.3

Data files needed for zero-shot AutoML are included in this release.
When no search budget is given via time_budget/max_iter, zero-shot automl is used automatically.

What's Changed

• align indent and add missing quotation by @sonichi in #555
• solve issue #542. fix pickle.UnpickingError while blendsearch warm start by @LinWencong in #554
• Documentation, test and bugfix by @qingyun-wu in #556
• Removed cat_hp_cost by @PrajwalBorkar in #559
• Update Tune-User-Defined-Function.md by @sonichi in #562
• use zeroshot when no budget is given; custom_hp by @sonichi in #563
• simplify warmstart in blendsearch by @sonichi in #558
• include .json file in flaml.default package by @sonichi in #565

New Contributors

• @LinWencong made their first contribution in #554
• @PrajwalBorkar made their first contribution in #559

Full Changelog: v1.0.2...v1.0.3

v1.0.2

What's Changed

• docstr cleanup #523: removed lines 259 to 260 in a1c49ca by @elbowgreasel in #524
• refactoring TransformersEstimator to support default and custom_hp by @liususan091219 in #511
• Bump cross-fetch from 3.1.4 to 3.1.5 in /website by @sonichi in #529
• fixing use_ray in automl.py by @liususan091219 in #531
• handle non-flaml scheduler in flaml.tune by @qingyun-wu in #532
• test reproducibility from retrain by @sonichi in #533
• fix the post-processing bug in NER by @liususan091219 in #534
• fixing roberta add_prefix_space bug by @liususan091219 in #546
• choose n_jobs for ensemble according to n_jobs per learner by @sonichi in #551
• Quick-fix by @Qiaochu-Song in #539
• fix indentation in automl.py by @harish445 in #553

New Contributors

• @elbowgreasel made their first contribution in #524
• @Qiaochu-Song made their first contribution in #539
• @harish445 made their first contribution in #553

Full Changelog: v1.0.1...v1.0.2

v1.0.1

What's Changed

• use ffill in forecasting example by @sonichi in #508
• Handling fractional gpu_per_trial for NLP by @liususan091219 in #513
• Fix AttributeError: readonly attribute for Python 3.10.4 by @jayshanker2000 in #518
• max choice is n-1 by @sonichi in #521
• allow evaluated_rewards shorter than points_to_evaluate by @sonichi in #522

New Contributors

• @jayshanker2000 made their first contribution in #518

Full Changelog: v1.0.0...v1.0.1

v1.0.0

What's Changed

• zero-shot AutoML in readme by @sonichi in #474
• update documentation for time series forecasting by @int-chaos in #472
• metric constraints in flaml.automl by @qingyun-wu in #479
• import from lightgbm by @sonichi in #489
• fixing bug for ner by @liususan091219 in #463
• doc update (#490) by @sonichi in #492
• adding evaluation by @liususan091219 in #495
• version number and doc by @sonichi in #497
• fixing a few bugs in nlp by @liususan091219 in #503
• Bug fix and add documentation for metric_constraints by @qingyun-wu in #498
• fixing some bug in NLP by @liususan091219 in #506
• handle failing trials by @sonichi in #505
• Update notebook and test by @qingyun-wu in #507
• Bump minimist from 1.2.5 to 1.2.6 in /website by @sonichi in #502

Full Changelog: v0.10.0...v1.0.0