GitLab

* 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

* quickly fix bug in cold start

by adding extra rst file 

* fix sklearn dependency
* add doc badge to readme
* fix infinite toctree level

fix broken link for curfitting assessor doc

Update nni docker image build process in build pipeline

In trialkeeper, the output stream of trial process may be in cache, and multiphase need the output stream returns immediately. Flush when sdk print content.

Improve the performance of the curve fitting assessor 

Add integration test for remoteTrainingService platform

Set pai/kubeflow integration test job timeout to infinite.

* change version

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.

* move tuners readme under docs
* fix deadlink in builtin
* fix reference warning
* remove smac dependency

* add trialkeeper_stdout and trialkeeper_stderr
* fix nnictl set remote nniManagerIP

* Fix a race condition bug that does not store Trial Job cancel status correctly

Unit test for nnimanager

update doc HowToDebug.md

Add integration test cases for tuners.

Integration test pipeline for PAI/kubeflow training service. It build nni.it docker image and run integration tests on PAI/kubeflow with the built docker image.

change Relative path to absolute path, unified docstring (include Hyperband), sdk_reference.rst

Add azure pipeline to build and upload nni release

* move en docs under en_US

* update gitignore

* fix image link

* add doc guide

* add napoleon ext

* Fix typo in README.Makefile.md

Fix typo in README.Makefile.md.

* Fix links in README.md

Fix links in README.md

* Update the link of assessor tutorial.

“docs/Customize_Assessor.md” is a better tutorial than “examples/assessors/README.md” for Customize Assessor.
The link of “Base-Assessor” in “examples/assessors/README.md” is not available.

* fix some bugs in doc and log

* The learning rate focus more on validation sets accuracy than training sets accuracy.

* update Dockerfile and README

* Update README.md

Merge to branch v0.5

* random search when suggested parameter occurs in the history

* avoid infinite loop when seacrh space is limited

* follow the review comments

* add comments

* 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 for reference

* add nni_gpu_tool in setup.py
* add exclude=['test'] in setup.py

* Fix typo and incorrect links in README.Makefile.md

update broken link in doc

* add reference link of Tuners/Assessors in doc