revert master's installation doc to install v0.2 before v0.3 official release. (#298)

* refactor doc

* update with Mao's suggestions

* Set theme jekyll-theme-dinky

* update doc

* fix links

* fix links

* fix links

* merge

* fix links and doc errors

* merge

* merge

* merge

* merge

* Quick fix nnictl config logic (#289)

* fix nnictl bug

* fix install.sh

* add desc for Dockerfile.build.base

* update document for Dockerfile

* update

* refactor port detect

* update

* refactor NNICTLDOC.md

* add document for pai and nnictl

* add default value for port

* add exception handling in trial_keeper.py

* fix port bug

* fix resume

* fix nnictl resume and fix nnictl stop

* fix document

* update

* refactor nnictl

* update

* update doc

* update

* update nnictl

* fix comment

* revert dockerfile

* update

* update

* update

* fix nnictl error hit

* fix comments

* fix bash-completion

* fix paramiko install

* quick fix resume logic

* update

* quick fix nnictl

* merge

* updated the "Contribute" part (merged Gems' wiki in, updated ReadMe)

* fix link

* revise the installation cmd to v0.2

* revise to install v0.2

* Update nnictl_utils.py

* Update nnictl_utils.py

* Update nnictl_utils.py

README.md

@@ -22,23 +22,16 @@ The tool dispatches and runs trial jobs generated by tuning algorithms to search
 
 ## **Install & Verify**
 
-**Install through source code**
-* We only support Linux (Ubuntu 16.04 or higher) in our current stage. 
-* Run the following commands in an environment that has `python >= 3.5`, `git` and `wget`.
-```bash
-    git clone -b v0.3 https://github.com/Microsoft/nni.git
-    cd nni
-    source install.sh
-```
+**pip install** 
+* We only support Linux in current stage, Ubuntu 16.04 or higher are tested and supported. Simply run the following `pip install` in an environment that has `python >= 3.5`, `git` and `wget`.
 
-**Verify install**
-* The following example is an experiment built on TensorFlow. Make sure you have `TensorFlow installed` before running it.
-* Download the examples via clone the source code.
-```bash
-    cd ~
-    git clone -b v0.3 https://github.com/Microsoft/nni.git
 ```
-* Run the mnist example.
+python3 -m pip install -v --user git+https://github.com/Microsoft/nni.git@v0.2
+source ~/.bashrc
+```
+
+**verify install**
+* The following example is an experiment built on TensorFlow, make sure you have `TensorFlow installed` before running it.
 ```bash
     nnictl create --config ~/nni/examples/trials/mnist/config.yml
 ```
@@ -51,7 +44,7 @@ The tool dispatches and runs trial jobs generated by tuning algorithms to search
     Info: Checking web ui...
     Info: Starting web ui...
     Info: Starting web ui success!
-+   Info: Web UI url: http://127.0.0.1:8080   http://10.172.141.6:8080
++   Info: Web UI url: http://yourlocalhost:8080   http://youripaddress:8080
 +   Info: Start experiment success! The experiment id is LrNK4hae, and the restful server post is 51188.
 ```
 

docs/InstallNNI_Ubuntu.md

@@ -12,15 +12,16 @@
 
 * __Install NNI through pip__
 
-      python3 -m pip install --user nni-pkg
+      pip3 install -v --user git+https://github.com/Microsoft/nni.git@v0.2
+      source ~/.bashrc
 
 * __Install NNI through source code__
    
-      git clone -b v0.3 https://github.com/Microsoft/nni.git
+      git clone -b v0.2 https://github.com/Microsoft/nni.git
       cd nni
+      chmod +x install.sh
       source install.sh
 
-
 ## Further reading
 * [Overview](Overview.md)
 * [Use command line tool nnictl](NNICTLDOC.md)