Chi Wang
3e7aac6e8b
unify auto_reply; bug fix in UserProxyAgent; reorg agent hierarchy ( #1142 )
...
* 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>
2023-07-25 23:46:11 +00:00
Chi Wang
2406e69496
Json config list, agent refactoring and new notebooks ( #1133 )
...
* 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
2023-07-23 13:23:09 +00:00
Jirka Borovec
a701cd82f8
set black with 120 line length ( #975 )
...
* set black with 120 line length
* apply pre-commit
* apply black
2023-04-10 19:50:40 +00:00
Chi Wang
fbea1d06dd
stratified group kfold splitter ( #899 )
...
* stratified group kfold splitter
* exclude catboost
---------
Co-authored-by: Shaokun <shaokunzhang529@gmail.com>
Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>
2023-02-05 18:26:14 -05:00
jmrichardson
e43485607a
Disable shuffle for custom CV ( #659 )
...
* Disable shuffle for custom CV
* Add custom fold shuffle test
* Update test_split.py
* Update test_split.py
2022-08-12 17:05:32 -07:00
Chi Wang
74cca60606
Allow custom GroupKFold object as split_type ( #616 )
...
* Allow custom GroupKFold object
* handle unpickle error for prophet 1.1
* eval_method in test_object()
2022-06-29 21:04:25 -07:00
Chi Wang
efd85b4c86
Deploy a new doc website ( #338 )
...
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>
2021-12-16 17:11:33 -08:00
Chia-Chi Hsu
671ccbbe3f
support for customized splitters ( #333 )
...
* add support for customized splitters
* use the param split_type for feeding generators
* use single API for customized splitter and add test
* when task==TS_FORCAST, always set shuffle=False
* update docstr
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
2021-12-16 16:13:04 -08:00
Chi Wang
72caa2172d
model_history, ITER_HP, settings in AutoML(), checkpoint bug fix ( #283 )
...
if save_best_model_per_estimator is False and retrain_final is True, unfit the model after evaluation in HPO.
retrain if using ray.
update ITER_HP in config after a trial is finished.
change prophet logging level.
example and notebook update.
allow settings to be passed to AutoML constructor. Are you planning to add multi-output-regression capability to FLAML #192 Is multi-tasking allowed? #277 can pass the auotml setting to the constructor instead of requiring a derived class.
remove model_history.
checkpoint bug fix.
* model_history meaning save_best_model_per_estimator
* ITER_HP
* example update
* prophet logging level
* comment update in forecast notebook
* print format improvement
* allow settings to be passed to AutoML constructor
* checkpoint bug fix
* time limit for autohf regression test
* skip slow test on macos
* cleanup before del
2021-11-18 09:39:45 -08:00
