* simplify the initiation of chat

* version update

* include openai

* completion

* load config list from json

* initiate_chat

* oai config list

* oai config list

* config list

* config_list

* raise_error

* retry_time

* raise condition

* oai config list

* catch file not found

* catch openml error

* handle openml error

* handle openml error

* handle openml error

* handle openml error

* handle openml error

* handle openml error

* close #1139

* use property

* termination msg

* AIUserProxyAgent

* smaller dev container

* update notebooks

* match

* document code execution and AIUserProxyAgent

* gpt 3.5 config list

* rate limit

* variable visibility

* remove unnecessary import

* quote

* notebook comments

* remove mathchat from init import

* two users

* import location

* expose config

* return str not tuple

* rate limit

* ipython user proxy

* message

* None result

* rate limit

* rate limit

* rate limit

* rate limit

* make auto_reply a common method for all agents

* abs path

* refactor and doc

* set mathchat_termination

* code format

* modified

* emove import

* code quality

* sender -> messages

* system message

* clean agent hierarchy

* dict check

* invalid oai msg

* return

* openml error

* docstr

---------

Co-authored-by: kevin666aa <yrwu000627@gmail.com>

* add doc for spark

* labelCol equals to label by default

* change title and reformat

* reference about default index type

* fix doc build

* Update website/docs/Examples/Integrate - Spark.md

* update doc

* Added more references

* remove exception case when `y_train.name` is None

* fix broken link

---------

Co-authored-by: Wendong Li <v-wendongli@microsoft.com>
Co-authored-by: Li Jiang <bnujli@gmail.com>

* update

* update doc

---------

Co-authored-by: “skzhang1” <“shaokunzhang529@gmail.com”>

* Added spark support for parallel training.

* Added tests and fixed a bug

* Added more tests and updated docs

* Updated setup.py and docs

* Added customize_learner and tests

* Update spark tests and setup.py

* Update docs and verbose

* Update logging, fix issue in cloud notebook

* Update github workflow for spark tests

* Update github workflow

* Remove hack of handling _choice_

* Allow for failures

* Fix tests, update docs

* Update setup.py

* Update Dockerfile for Spark

* Update tests, remove some warnings

* Add test for notebooks, update utils

* Add performance test for Spark

* Fix lru_cache maxsize

* Fix test failures on some platforms

* Fix coverage report failure

* resovle PR comments

* resovle PR comments 2nd round

* resovle PR comments 3rd round

* fix lint and rename test class

* resovle PR comments 4th round

* refactor customize_learner to broadcast_code

* fix_doc

* update

* fix lint

* fix lint

* reformat

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

* Refactor into automl subpackage

Moved some of the packages into an automl subpackage to tidy before the
task-based refactor. This is in response to discussions with the group
and a comment on the first task-based PR.

Only changes here are moving subpackages and modules into the new
automl, fixing imports to work with this structure and fixing some
dependencies in setup.py.

* Fix doc building post automl subpackage refactor

* Fix broken links in website post automl subpackage refactor

* Fix broken links in website post automl subpackage refactor

* Remove vw from test deps as this is breaking the build

* Move default back to the top-level

I'd moved this to automl as that's where it's used internally, but had
missed that this is actually part of the public interface so makes sense
to live where it was.

* Re-add top level modules with deprecation warnings

flaml.data, flaml.ml and flaml.model are re-added to the top level,
being re-exported from flaml.automl for backwards compatability. Adding
a deprecation warning so that we can have a planned removal later.

* Fix model.py line-endings

* Pin pytorch-lightning to less than 1.8.0

We're seeing strange lightning related bugs from pytorch-forecasting
since the release of lightning 1.8.0. Going to try constraining this to
see if we have a fix.

* Fix the lightning version pin

Was optimistic with setting it in the 1.7.x range, but that isn't
compatible with python 3.6

* Remove lightning version pin

* Revert dependency version changes

* Minor change to retrigger the build

* Fix line endings in ml.py and model.py

Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>
Co-authored-by: EgorKraevTransferwise <egor.kraev@transferwise.com>

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

* add vw version requirement

* vw version

* version range

* add documentation

* vw version range

* skip test on py3.10

* vw version

* rephrase

* don't install vw on py 3.10

* move import location

* remove inherit

* 3.10 in version

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

* add search space doc

* remove redundancy

* add parallel and sequential guidelines

* add caveats

* update doc

* add code example

* wording

* revise example

* add a tutorial link in readme

* wording change

* update readme

* remove redundancy

* Update website/docs/Use-Cases/Task-Oriented-AutoML.md

Co-authored-by: Xueqing Liu <liususan091219@users.noreply.github.com>

* Update website/docs/Use-Cases/Task-Oriented-AutoML.md

Co-authored-by: Xueqing Liu <liususan091219@users.noreply.github.com>

Co-authored-by: Xueqing Liu <liususan091219@users.noreply.github.com>

* update doc about scheduler exception

* remove assert

Added one more use case of tune.

* add bs restore test

* use default metric when not provided

* update documentation

* remove print

* period

* remove bs restore test

* Update website/docs/Use-Cases/Task-Oriented-AutoML.md

* handle non-flaml scheduler in flaml.tune

* revise time budget

* Update website/docs/Use-Cases/Tune-User-Defined-Function.md

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

* Update website/docs/Use-Cases/Tune-User-Defined-Function.md

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

* Update flaml/tune/tune.py

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

* add docstr

* remove random seed

* StopIteration

* StopIteration format

* format

* Update flaml/tune/tune.py

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

* revise docstr

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

Fix for #445

* console log handler

* version update

* doc

* skippable steps

* notebook update

* constraint sign

* doc for constraints

* bug fix: define-by-run and unflatten_hierarchical

* const

* handle nested space in indexof()

* test grid search

* test suggestion

* model test

* >1 ckpts

* always increase iter count

* log total # iterations

* security patch

* make iter_per_learner consistent

* custom splitter
* NLP
* version number

* reproducibility for random sampling #236

* doc update

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>