GitLab

Merge V0.6 branch to master

* udpate structure

* Fix parameter size calculation error

* add how to save and  load model

* Update networkmorphismTuner.md

update version number

* Fix Metis bug

remove unexpected logger

* Increase 'alpha' parameter

Increase 'alpha' parameter of your GaussianProcessRegressor to make sure a positive definite matrix

* Increase 'alpha' parameter

Increase 'alpha' parameter of your GaussianProcessRegressor to make sure a positive definite matrix

* Increase the probability from 0.1 to 0.9

Increase the probability from 0.1 to 0.9 to select from next config

* Update metis_tuner.py

Use local name instead of global name

* fix bug in smac search space convert

* update docstring

* Add output_dir in trial's doc

* Fix bug: incorrect number of trial jobs in hyperband

* 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

* fix issue: #902, random parameter

* update doc about random

* change Random tuner test

* update metric_test for Random tuner

* update random config in test

* update Evolution_SQuAD doc

fix typo

[WebUI] Default metric is latest or final result, !local, show trial log hyperlink or address (#913)

* Add intermediate column

* update

* show trial log link or address

* fix some comments

* update

* 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

* add metis as config choice

* 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

* Optimize job query performance

* Fix hyperband command queues

1. Route tuner and assessor commands to 2 seperate queues  issue #841
2. Allow tuner to leverage intermediate result when trial is early stopped.  issue #843

If user set remoteloggingType in config file, log content will not be transmitted from trialkeeper

There is one kind of version string like 'v0.5.2-gews11f', it is generated by installing from source code.
In current trialKeeper, use exact version match, and this version string will cause code break in msranni/nni image, because our offical image use clean number version.
Change the logic to fuzzy match, only match the main number of nni.

* fix remote bug

* add document

* add document

* update

* update

* update

* update

* fix remote issue

* fix forEach

* update doc according to comments

* update

* update

* update

* remove 'any more'

* init

* add overview

* add picture

* add trialkeeper.jpb

* first version

* update

* add reference in Reference.rst

* update doc according to comments

* update doc according to comments

* fix comments

* [WebUI] Add intermediate result and optimize hyper-parameter graph

* update

* fix comment

Wrong spell in INFO log.

In nnictl, we support debug mode from config file and --debug.
If users does not set debug: true in config, nnictl will use --debug value.

* fix installation

* Add virtual cluster configuration for PAI IT

check nni version in trialkeeper, to make sure the version of trialkeeper is consistent with trainingService
add a debug mode in config file