* allow installation in py 3.6

* test py 3.6

* support latest xgboost version

* Update test_classification.py

* Update 

Exists problems when installing xgb1.6.1 in py3.6

* cleanup

* xgboost version

* remove time_budget_s in test

* remove redundancy

* stop support of python 3.6

Co-authored-by: zsk <shaokunzhang529@gmail.com>
Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>

* update the signature of set_search_properties

* fix resource limit issue

* add python 3.10 in CI

* reinstall libomp in macos

* zero-shot AutoML in readme

* use pydoc-markdown 4.5.0 to avoid error in 4.6.0

A new documentation website. And:

* add actions for doc

* update docstr

* installation instructions for doc dev

* unify README and Getting Started

* rename notebook

* doc about best_model_for_estimator #340

* docstr for keep_search_state #340

* DNN

Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>
Co-authored-by: Z.sk <shaokunzhang@psu.edu>

* 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

* adding predict_proba, address PR 293's comments

close #293 #291

* limit time and memory

* separate tests

* lrl1 can't be limited by limit_resource

* free memory when possible

* passthrough=False when ensemble fails;
retrain when trained_estimator is None

* use callback to for resource limit

* handle lower version of xgb with no callback

* free mem ratio

* reduce verbosity

* retrain_final when max_iter==1

* remove trained_estimator from result

* model_history

* wheel

* retrain time as best_config_train_time

* ci: libomp version for xgboost on macos

* limit_resource not working in windows

* test pickle load

* mute forecaster

* notebook update

* check hard

* preventive callback

* add use_ray

* build and upload pypi package

* pandas in dependency

* added 'forecast' task with estimators ['fbprophet', 'arima', 'sarimax']

* update setup.py

* add TimeSeriesSplit to 'regression' and 'classification' task

* add 'time' split_type for 'classification' and 'regression' task

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* feature importance

* variable name

* Update test/test_split.py

Co-authored-by: Chi Wang <wang.chi@microsoft.com>

* Update test/test_forecast.py

Co-authored-by: Chi Wang <wang.chi@microsoft.com>

* prophet installation fail in windows

* upload flaml_forecast.ipynb

Signed-off-by: Kevin Chen <chenkevin.8787@gmail.com>

* unordered categorical

* allow cost attribute to be None

* tensorboardX version

* quote

* cfo cat

* trunc

* Update version.py

* incumbent is normalized

* python 3.9

* remove ConcurrencyLimiter

* seed

* estimator

* update autovw notebook

Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Qingyun Wu <qiw@microsoft.com>

* add codecov.yml

* change tests to test

* condition

* windows

* install coverage

* remove conditions

* revert remove conditions

* check build failure

* code coverage

* Revert "check build failure"

This reverts commit bc06b3f961.

* del codecov.yml

Co-authored-by: Chi Wang (MSR) <chiw@microsoft.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>

* update image url

* ArffException

* OpenMLError is ValueError

* CatBoostError

* reduce build on push

Co-authored-by: Chi Wang (MSR) <wang.chi@microsoft.com>

* flaml v0.3

* low cost partial config

* test distillbert

* import check

* complete partial config

* None check

* init config is not suggested by bo

* badge

* notebook for lightgbm

* v0.2.2

separate the HPO part into the module flaml.tune
enhanced implementation of FLOW^2, CFO and BlendSearch
support parallel tuning using ray tune
add support for sample_weight and generic fit arguments
enable mlflow logging

Co-authored-by: Chi Wang (MSR) <chiw@microsoft.com>
Co-authored-by: qingyun-wu <qw2ky@virginia.edu>

* set default logging level to INFO

* remove unnecessary import

* API future compatibility

* add test for customized learner

* test dependency

Co-authored-by: Chi Wang (MSR) <chiw@microsoft.com>