GitLab

experiment resume

fix smac import data

* update docs

* fix bug that annotation cannot deal with negative numbers

* Update mnist-hyperband.test.yml

* Fix system node

* Fix pgrep in windows

* Revert to orginal `nnictl log trial` and `nnictl trial kill`

* Change print() to print_normal()

Fix issue #890

Advisor and assessor could not be used simultaneously.
Refactor config file error message.
Support scientific notation, like 1e-2

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

add BOHB Advisor

add trial id to csv and remove pandas

* 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

* 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

* 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

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.

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.

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

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

* Fix tensorflow MNIST dataset download bug in multiple trials

* Modify the maxTrialNum and trialConcurrency in config

* update link

Improve the performance of the curve fitting assessor 

Add integration test for remoteTrainingService platform

trial_keeper use 50070 port to connect to webhdfs server, and PAI use a mapping method to map 50070 port to 5070 port to visit restful server, this method has some risk for PAI may not support this kind of mapping in later release.Now use Pylon path(/webhdfs/api/v1) instead of 50070 port in webhdfs client of trial_keeper, the path is transmitted in trainingService.
In this pr, we have these changes:

1. Change to use webhdfs path instead of 50070 port in hdfs client.
2. Change to use new hdfs package "PythonWebHDFS", which is build to support pylon by myself. You could test the new function from "sparksnail/nni:dev-pai" image to test pai trainingService.
3. Update some variables' name according to comments.