GitLab

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

* 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

* 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

[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

* 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

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

* update

* fix comment

Wrong spell in INFO log.

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

Support intermediate is dict

SSH client has a max number of open channels for a connection, if we set the number of trialCurrency too big, our ssh client will exec command using ssh frequently, then we will meet the error of Error: (SSH) Channel open failure: open failed.
Refactor the code, set one connection has a max trial concurrency, when the number of trial reach the ssh connection restriction, will create a new ssh connection to exec trial commands.

* fix remote bug

* add document

* add document

* fix remote issue

* fix forEach

* update doc according to comments

* remove 'any more'

* set nniManager.log and dispatcher.log time format to local time

* add epsilon

* add epsilon for ceil

* fix annotation, resolve annotation's key err bug, refactor the design

* 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 bug in cold start

* remove unused comment

Fix bug in Curvefitting Assessor