* 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>

Co-authored-by: rcardoso <ricardo.cardoso@anova.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>

* Blogpost for adaptation in HumanEval

* doc

* fix link

* fix link

* explain

* model

* interface

* link

* typo

* doc

* Mark experimental classes

* template

* multi model

* test

* multi-config doc

* doc

* doc

* test

---------

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

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

* tentatively implement holt-winters-no covariates

* fix forecast method, clean class

* checking external regressors too

* update test forecast

* remove duplicated test file, re-add sarimax, search space cleanup

* Update flaml/automl/model.py

removed links. Most important one probably was: https://robjhyndman.com/hyndsight/ets-regressors/

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

* prevent short series

* add docs

---------

Co-authored-by: Andrea W <a.ruggerini@ammagamma.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>

* indentation space #884 changing indentation of python code blocks

* indentation space #884 changing indentation of python code blocks 2

* precommit: end-of-file-fixer

* exclude .gitignore

* apply

---------

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

* added documentation about small time budget

* small change for better clarity

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

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

---------

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

* 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>

* make performance test reproducible

* fix test error

* Doc update and disable logging

* document random_state and version

* remove hardcoded budget

* fix test error and dependency; close #777

* iloc

* Pending changes exported from your codespace

* Update flaml/automl.py

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

* Update flaml/automl.py

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

* Update flaml/ml.py

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

* Update flaml/ml.py

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

* Update website/docs/Examples/Integrate - Scikit-learn Pipeline.md

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

* added documentation for new metric

* Update flaml/ml.py

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

* minor notebook changes

* Update Integrate - Scikit-learn Pipeline.md

* Update notebook/automl_classification.ipynb

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

* Update integrate_azureml.ipynb

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

* install editable package in codespace

* fix test error in test_forecast

* fix test error in test_space

* openml version

* break tests; pre-commit

* skip on py10+win32

* install mlflow in test

* install mlflow in [test]

* skip test in windows

* import

* handle PermissionError

* skip test in windows

* skip test in windows

* skip test in windows

* skip test in windows

* remove ts_forecast_panel from doc

limiting the scope to tabular data.

* Small docstring change for clarity

* Added tentative changes to docs

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

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

* Update flaml/model.py

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

* Updated model.py to reflect `n_jobs = None` suggestion

* Updated tutorial to reflect `n_jobs=None` suggestion

* Update model.py

Improved string

Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>

* version update in notebook

* comment about optuna install

* monotone constraints

* add guideline collection

* remove redundancy

* Disable shuffle for custom CV

* Add custom fold shuffle test

* Update test_split.py

* Update test_split.py

* time series forecasting with panel datasets
- integrate Temporal Fusion Transformer as a learner based on pytorchforecasting

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

* update setup.py

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

* update test_forecast.py

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

* update setup.py

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

* update setup.py

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

* update model.py and test_forecast.py
- remove blank lines

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

* update model.py to prevent errors

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

* update automl.py and data.py
- change forecast task name
- update documentation for fit() method

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

* update test_forecast.py

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

* update test_forecast.py
- add performance test
- use 'fit_kwargs_by_estimator'

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

* add time index function

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

* update test_forecast.py performance test

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

* update data.py

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

* update automl.py

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

* update data.py to prevent type error

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

* update setup.py

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

* update for pytorch forecasting tft on panel datasets

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

* update automl.py documentations

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

* - rename estimator
- add 'gpu_per_trial' for tft estimator

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

* update test_forecast.py

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

* include ts panel forecasting as an example

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

* update model.py

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

* update documentations

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

* update automl_time_series_forecast.ipynb

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

* update documentations

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

* "weights_summary" argument deprecated and removed for pl.Trainer()

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

* update model.py tft estimator prediction method

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

* update model.py

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

* update `fit_kwargs` documentation

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

* update automl.py

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

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

* use relative url in doc

* update link

* Update Task-Oriented-AutoML.md

* use zeroshot when no budget is given; custom_hp

* update Getting-Started

* protobuf version

* X_val

* 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

* metric constraint documentation

* update link

* update notebook

* fix a bug in adding 'time_total_s' to result

* use the default multiple factor from config file

* update notebook

* format

* improve test

* revise test budget for macos

* bug fix in adding time_total_s

* increase performance check budget

* revise test

* update notebook

* uncomment test

* remove redundancy

* clear output

* remove n_jobs

* remove constraint in notebook

* increase budget

* revise test

* add python version

* use getattr

* improve code robustness

Co-authored-by: Qingyun Wu <qxw5138@psu.edu>

* version number

* add missing tasks in documentation

* update node-forge version

Fix for issue #444

Fix Typo for issue 443

* 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

* examples and documentation about how to use azureml + ray

* 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>