Flaml

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

New Contributors
* m13uz made their first contribution in https://github.com/microsoft/FLAML/pull/439

**Full Changelog**: https://github.com/microsoft/FLAML/compare/v0.9.5...v0.9.6

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

New Contributors
* MichaelMarien made their first contribution in https://github.com/microsoft/FLAML/pull/405

**Full Changelog**: https://github.com/microsoft/FLAML/compare/v0.9.4...v0.9.5

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 https://github.com/microsoft/FLAML/pull/364
* Fix several issues for nlp tasks by sonichi in https://github.com/microsoft/FLAML/pull/380
* serialize TransformerEstimator by sonichi in https://github.com/microsoft/FLAML/pull/381
* Time series forecasting with sklearn regressors by int-chaos in https://github.com/microsoft/FLAML/pull/362
* fixing auto metric bug by liususan091219 in https://github.com/microsoft/FLAML/pull/387


**Full Changelog**: https://github.com/microsoft/FLAML/compare/v0.9.3...v0.9.4

What's Changed
* Finish the Multiple Choice Classification by oberonbot in https://github.com/microsoft/FLAML/pull/367
* logging by sonichi in https://github.com/microsoft/FLAML/pull/371
* adding token classification by liususan091219 and siddheshshaji in https://github.com/microsoft/FLAML/pull/376

New Contributors
* oberonbot and siddheshshaji made their first contribution in https://github.com/microsoft/FLAML/pull/367

**Full Changelog**: https://github.com/microsoft/FLAML/compare/v0.9.2...v0.9.3

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 https://github.com/microsoft/FLAML/pull/345
* Adding the NLP task summarization by liususan091219 XinZofStevens GideonWu0105 in https://github.com/microsoft/FLAML/pull/346
* reproducibility for random sampling by sonichi in https://github.com/microsoft/FLAML/pull/349
* doc update by sonichi in https://github.com/microsoft/FLAML/pull/352
* azureml + ray by sonichi in https://github.com/microsoft/FLAML/pull/344
* Fixing the bug in custom metric by liususan091219 in https://github.com/microsoft/FLAML/pull/356
* Simplify lgbm example by ruizhuanguw in https://github.com/microsoft/FLAML/pull/358
* fixing custom metric by liususan091219 in https://github.com/microsoft/FLAML/pull/357
* Example by sonichi in https://github.com/microsoft/FLAML/pull/359

New Contributors
* ruizhuanguw XinZofStevens GideonWu0105 made their first contribution in https://github.com/microsoft/FLAML/pull/358

**Full Changelog**: https://github.com/microsoft/FLAML/compare/v0.9.1...v0.9.2

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

New Contributors
* Shao-kun-Zhang made their first contribution in https://github.com/microsoft/FLAML/pull/339

**Full Changelog**: https://github.com/microsoft/FLAML/compare/v0.9.0...v0.9.1