GitLab

* 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'

* add sklearn in setup.py

* remove sklearn in doc for MetisTuner

* test python

* test python36

* debug python

* debug python

* debug

* python version

* test python

* debug

* install nni

* install nni

* test powershell

* debug python

* test

* test python

* use python

* test python

* test python

* test

* update

* test powershell

* debug python

* debug python

* debug python

* debug powershell

* debug

* debug

* debug install.ps1

* add continueOnError: true

* debug

* debug

* update

* update

* add unittest

* test node

* update

* update joi

* debug joi

* add joi

* debug joi

* Update install

* update

* update

* add unittest

* add convert command

* add example

* fix windows commands

* debug

* fix tensorflow version

* fix pipeline

* update

* add gpu logic in windows

* update

* update

* debug

* fix commands

* fix commands

* update

* update

* Fix comments

* update...

Fix windows pypi pipeline and add win32 version

* Add build_version input for build pipeline
* Change time stamp to UTC time

add package requirement data in setup.py

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.

Add azure pipeline to build and upload nni release

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

* update pypi/makefile for multiple platform support

* update linux os spec

* udpate doc for installation & pypi

* update readme

* Change version number from v0.3.4 to v0.4, for NNI v0.4 release

* Fix pypi package missing python module

* Fix pypi package missing python module

* fix bug in smartparam example (#322)

* Fix nnictl update trialnum and document (#326)

1.Fix restful server of update
2.Update nnictl document of update
3.Add tensorboard in docement

* Update the version numbers from 0.3.2 to 0.3.3