* version update post release v1.2.2

* automl option

* import pandas

* remove automl.utils

* default

* test

* type hint and version update

* dependency update

* link to open in colab

* use packging.version to close #725

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Co-authored-by: Li Jiang <lijiang1@microsoft.com>
Co-authored-by: Li Jiang <bnujli@gmail.com>

* improve max_valid_n and doc

* Update README.md

Co-authored-by: Li Jiang <lijiang1@microsoft.com>

* newline at end of file

* doc

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Co-authored-by: Li Jiang <lijiang1@microsoft.com>
Co-authored-by: Susan Xueqing Liu <liususan091219@users.noreply.github.com>
Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>

* precommit: end-of-file-fixer

* exclude .gitignore

* apply

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Co-authored-by: Shaokun <shaokunzhang529@gmail.com>

* rm classification head in nlp

* rm classification head in nlp

* rm classification head in nlp

* adding test cases for switch classification head

* adding test cases for switch classification head

* Update test/nlp/test_autohf_classificationhead.py

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

* adding test cases for switch classification head

* run each test separately

* skip classification head test on windows

* disabling wandb reporting

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* fix test nlp custom metric

* Update website/docs/Examples/AutoML-NLP.md

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

* Update website/docs/Examples/AutoML-NLP.md

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

* fix test nlp custom metric

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

* fix eval automl metric bug on val_loss inconsistency

* updating starting point search space to continuous

* shortening notebok

* fix ner bug; refactor post processing

* fix too many values to unpack

* supporting id/token label for NER

* 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

* fixing bug for ner

* removing global var

* adding class for trial counter

* adding notebook

* adding use_ray dict

* updating documentation for nlp

* custom splitter
* NLP
* version number

* Add test_autohf_summarization.py

* adding seq2seq

* Update flaml/nlp/huggingface/trainer.py

* rouge metrics

Co-authored-by: XinZofStevens <xzhao4346@gmail.com>
Co-authored-by: JinzhuoWu <wujinzhuo0105@gmail.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>

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>