GitLab

* add different tuner config files for config_test

* change MetisTuner config test due to no lightgbm python module in integration test

* install smac package in azure-pipelines

* SMAC need swig to be installed

* Try to install swig from source code

* remove SMAC test because the dependency can not be installed

* use sudo to install the swig

* sleep 10s to make sure the port has been released

* remove tuner test for networkmorphism because it uses more than 30s to release the tcp port

* word "down" to "done"

* add config test for Curvefitting assessor

* change file name

* Fix data type not match bug

* Optimize MetisTunner

* pretty the code

* Follow the review comment

* add exploration probability

* Avoid None type object generating

* fix nnictl log trial bug

* rollback chinese doc

* add argument 'experiment' to parser_log_trial and parser_trial_kill

* update doc

* add NASComparison for ResearchBlog

* Fix format of table

* update doc and add index to toctree

* Update NASComparison.md

Slightly change.

* Update NASComparison.md

Add http links in toctree

* Move ResearchBlog to bottom

move ResearchBlog to bottom

* Follow the review comments

* change the file structure

* add utils

* slight change

* Remove unrelated files

* add doc in SearchSpaceSpec.md and add config test for nested search space

* add unittest

* add unittest for hyperopt_tuner

* update as comment

* Update SearchSpaceSepc doc

* Delete unnecessary space change and correct a mistake

* fix bug of table entries

* update readme in ga_squad

* update readme

* fix typo

* Update README.md

* Update README.md

* Update README.md

* update readme

* update

* fix path

* update reference

* fix bug in config file

* update nni_arch_overview.png

* update

* update

* update

* update home page

* update default value of metis tuner

fix bug in import data function

* fs's API changed

* fix version

* roll back utils

Support multiphase experiment 

Handling import data in Tuner/Advisor

* Format other final keys and fix bugs in hyper-parameter graph

* Refactoring environment variables

* Refactoring local training service
* Designated GPU for local training service
* RemoteMachine designated GPU configuration

Catch IndexError

optimization of copy as python

add BOHB Advisor

* Use job queue for PAI training service

* Show more error msg when submitting PAI job failed

* show error message more friendly

* update

create utils.py, put extract_scalar_reward to it and remove others

remove return True

* enable tuner to aware trial ending

* fix docstring

* update hyperband

* change STEP to TRIAL_BUDGET

* modify the function of n r

* fix typo

* copy parameters in form of python dict.

* remove irrelevant files

* better ui and ux

* better ui

* udpate structure

* Fix parameter size calculation error

* add how to save and  load model

* Update networkmorphismTuner.md