* removed run_analysis.py, run_autohf.py, test_jupyter.py

* increase coverage

* fixing exception messages

* fixing import

automate huggingface transformer

* pickle the AutoML object

* get best model per estimator

* test deberta

* stateless API

* pickle the AutoML object

* get best model per estimator

* test deberta

* stateless API

* prevent divide by zero

* test roberta

* BlendSearchTuner

* sync

* version number

* update gitignore

* delta time

* reindex columns when dropping int-indexed columns

* add seed

* add seed in Args

* merge

* init upload of ChaCha

* remove redundancy

* add back catboost

* improve AutoVW API

* set min_resource_lease in VWOnlineTrial

* docstr

* rename

* docstr

* add docstr

* improve API and documentation

* fix name

* docstr

* naming

* remove max_resource in scheduler

* add TODO in flow2

* remove redundancy in rearcher

* add input type

* adapt code from ray.tune

* move files

* naming

* documentation

* fix import error

* fix format issues

* remove cb in worse than test

* improve _generate_all_comb

* remove ray tune

* naming

* VowpalWabbitTrial

* import error

* import error

* merge test code

* scheduler import

* fix import

* remove

* import, minor bug and version

* Float or Categorical

* fix default

* add test_autovw.py

* add vowpalwabbit and openml

* lint

* reorg

* lint

* indent

* add autovw notebook

* update notebook

* update log msg and autovw notebook

* update autovw notebook

* update autovw notebook

* add available strings for model_select_policy

* string for metric

* Update vw format in flaml/onlineml/trial.py

Co-authored-by: olgavrou <olgavrou@gmail.com>

* make init_config optional

* add _setup_trial_runner and update notebook

* space

Co-authored-by: Chi Wang (MSR) <chiw@microsoft.com>
Co-authored-by: Chi Wang <wang.chi@microsoft.com>
Co-authored-by: Qingyun Wu <qiw@microsoft.com>
Co-authored-by: olgavrou <olgavrou@gmail.com>

* iter per learner

* code cleanup

* flaml v0.3

* low cost partial config

* pickle the AutoML object

* get best model per estimator

* test deberta

* stateless API

* Add Gitter badge (#41)

* prevent divide by zero

* test roberta

* BlendSearchTuner

Co-authored-by: Chi Wang (MSR) <chiw@microsoft.com>
Co-authored-by: The Gitter Badger <badger@gitter.im>

* xgboost notebook

* finetuning notebook

* finetuning test

* experimental nni support

* support nested search space

* log file name

* record training_iteration

* eps

* reset times

* std set to default step size if 0

* 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>