v0.9.7

What's Changed

• Update Task-Oriented-AutoML.md by @vvijayalakshmi21 in #446
• Update Task-Oriented-AutoML.md by @vvijayalakshmi21 in #447
• Update Tune-User-Defined-Function.md by @vvijayalakshmi21 in #448
• corrected typo in example xgboost documentation by @MichaelMarien in #449
• bump ray version to 1.10 by @sonichi in #450
• fix a bug when using ray & update ray on aml by @sonichi in #455

New Contributors

• @vvijayalakshmi21 made their first contribution in #446

Full Changelog: v0.9.6...v0.9.7

v0.9.6

What's Changed

• reducing AutoConfig.from_pretrained by @liususan091219 in #411
• Set use_ray to True for logging to databricks by @liususan091219 in #414
• Bump nanoid from 3.1.30 to 3.2.0 in /website by @sonichi in #420
• bump version of node-fetch to 3.1.1 in website/ by @sonichi in #423
• Use Ray _BackwardsCompatibleNumpyRng if possible by @Yard1 in #421
• remove FLAML sample size from config by @sonichi in #418
• max_iter < 2 -> no search; sign in metric constraints; test and example for forecasting by @sonichi in #415
• remove redundant imports by @liususan091219 in #426
• Support time series forecasting for discrete target variable by @int-chaos in #416
• homepage update by @sonichi in #425
• fix a broken link in README.md by @m13uz in #439
• adding catch for HTTP error by @liususan091219 in #432
• Change the upper bound for "lags" hyperparameter for sklearn forecast models by @int-chaos in #437
• Gpu support for xgboost by @sonichi in #442
• data in csv by @sonichi in #430
• note about preview feature by @sonichi in #431

New Contributors

• @m13uz made their first contribution in #439

Full Changelog: v0.9.5...v0.9.6

v0.9.5

What's Changed

• fixing load best model at the end by @liususan091219 in #389
• Regression forecast debug by @int-chaos in #391
• set verbose for transformers by @liususan091219 in #392
• Logging multiple checkpoints by @liususan091219 in #394
• postcss version update by @sonichi in #385
• fixing default metric for regression + change verbosity for transformers by @liususan091219 in #397
• fix issues in logging, bug in space.py, constraint sign, and improve code coverage by @sonichi in #388
• moving intermediate_results logging from model.py to huggingface/trainer.py by @liususan091219 in #403
• Update flaml/nlp/README.md by @liususan091219 in #404
• Logo by @qingyun-wu in #399
• update browser icon by @qingyun-wu in #407
• adding logging of training loss by @liususan091219 in #406
• Bump shelljs from 0.8.4 to 0.8.5 in /website by @sonichi in #402
• Sklearn api x by @MichaelMarien in #405

New Contributors

• @MichaelMarien made their first contribution in #405

Full Changelog: v0.9.4...v0.9.5

v0.9.4

This release enables regression models for time series forecasting. It also fixes bugs in nlp tasks, such as serialization of transformer models and automatic metrics.

What's Changed

• citation file by @sonichi in #364
• Fix several issues for nlp tasks by @sonichi in #380
• serialize TransformerEstimator by @sonichi in #381
• Time series forecasting with sklearn regressors by @int-chaos in #362
• fixing auto metric bug by @liususan091219 in #387

Full Changelog: v0.9.3...v0.9.4

v0.9.3

What's Changed

• Finish the Multiple Choice Classification by @oberonbot in #367
• logging by @sonichi in #371
• adding token classification by @liususan091219 and @siddheshshaji in #376

New Contributors

• @oberonbot and @siddheshshaji made their first contribution in #367

Full Changelog: v0.9.2...v0.9.3

v0.9.2

New Features:

• New task: text summarization
• Reproducibility of hyperparameter search sequence
• Run flaml in azureml + ray

What's Changed

• url update for doc edit by @sonichi in #345
• Adding the NLP task summarization by @liususan091219 @XinZofStevens @GideonWu0105 in #346
• reproducibility for random sampling by @sonichi in #349
• doc update by @sonichi in #352
• azureml + ray by @sonichi in #344
• Fixing the bug in custom metric by @liususan091219 in #356
• Simplify lgbm example by @ruizhuanguw in #358
• fixing custom metric by @liususan091219 in #357
• Example by @sonichi in #359

New Contributors

• @ruizhuanguw @XinZofStevens @GideonWu0105 made their first contribution in #358

Full Changelog: v0.9.1...v0.9.2

v0.9.1

This release contains several feature improvements and bug fixes. For example,

• support for custom data splitter.
• evaluation_function can receive incumbent result in local search and perform domain-specific early stopping by comparing with the incumbent result. As long as the comparison result (better or worse) is known, the evaluation can be stopped.
• support and automate huggingface metrics.
• use cfo in tune.run if bs is not installed.
• fixed a bug in modifying n_estimators to satisfy constraints.
• new documentation website.

What's Changed

• Update flaml_pytorch_cifar10.ipynb by @sonichi in #328
• adding HF metrics by @liususan091219 in #335
• train at least one iter when not trained by @sonichi in #336
• use cfo in tune.run if bs is not installed by @sonichi in #334
• Makes the evaluation_function could receive the incumbent best result as input in Tune by @Shao-kun-Zhang in #339
• support for customized splitters by @wuchihsu in #333
• Deploy a new doc website by @sonichi, @qingyun-wu and @Shao-kun-Zhang in #338
• version update by @sonichi in #341

New Contributors

• @Shao-kun-Zhang made their first contribution in #339

Full Changelog: v0.9.0...v0.9.1

v0.9.0

1. Revise flaml.tune API

• Add a “scheduler” argument (a user can choose from “flaml”, “asha” or a customized scheduler)
• Rename "prune_attr" to "resource_attr"
• Rename “training_function” to “evaluation_function”
• Remove the “report_intermediate_result” argument (covered by “scheduler” instead)
• Add tests for the supported schedulers
• Re-run notebooks that use schedulers

2. Add save_best_config() to save best config in a json file

What's Changed

• add save_best_config() by @sonichi in #324
• tune api for schedulers by @qingyun-wu in #322
• add init.py in nlp by @sonichi in #325
• rename training_function by @qingyun-wu in #327

Full Changelog: v0.8.2...v0.9.0

v0.8.2

What's Changed

• include default value in rf search space by @sonichi in #317
• adding TODOs for NLP module, so students can implement other tasks easier by @liususan091219 in #321
• pred_time_limit clarification and logging by @sonichi in #319
• bug fix in confg2params by @sonichi in #323

Full Changelog: v0.8.1...v0.8.2

v0.8.1

What's Changed

• Update test_regression.py by @fengsxy in #306
• Add conda forge minimal test by @MichalChromcak in #309
• fixing config2params for transformersestimator by @liususan091219 in #316
• Code quality improvement based on #275 by @abnsy and @sonichi in #313
• skip cv preparation if eval_method is holdout by @sonichi in #314

New Contributors

• @fengsxy made their first contribution in #306
• @abnsy made their first contribution in #313

Full Changelog: v0.8.0...v0.8.1