Merge microsoft nni repo master to local master #1
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…945) * Fix bug: incorrect number of trial jobs in hyperband
* fix bug in smac search space convert * update docstring
update version number
* udpate structure * Fix parameter size calculation error * add how to save and load model * Update networkmorphismTuner.md
Merge V0.6 branch to master
* copy parameters in form of python dict. * remove irrelevant files * better ui and ux * better ui
* 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 * rename the folder name to Blog * Add Author * Update index.rst * Update index.rst
* update hyperband * change STEP to TRIAL_BUDGET * modify the function of n r * fix typo
* enable tuner to aware trial ending * fix docstring
* update doc * update example
Add document message in issue template
* export to csv core code done * add nnictl trail export * fix bug * add dependency for pandas * remove pandas from dependency * add multi phase support * add document
add trial id to csv and remove pandas
create utils.py, put extract_scalar_reward to it and remove others
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