Version bump after v0.3.0 release (#682)

README.md

@@ -53,12 +53,12 @@ sudo apt-get -y install libcurl4-openssl-dev libssl-dev libxml2-dev
 Download the Python wheel file (For Python 3.6 on linux_x86_64):
 
   * Stable:
-    * [CUDA8](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/stable/ai/h2o/h2o4gpu/0.2-nccl-cuda8/h2o4gpu-0.2.0-cp36-cp36m-linux_x86_64.whl)
-    * [CUDA9](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/stable/ai/h2o/h2o4gpu/0.2-nccl-cuda9/h2o4gpu-0.2.0-cp36-cp36m-linux_x86_64.whl)
+    * [CUDA8](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/stable/ai/h2o/h2o4gpu/0.3-nccl-cuda8/h2o4gpu-0.3.0-cp36-cp36m-linux_x86_64.whl)
+    * [CUDA9](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/stable/ai/h2o/h2o4gpu/0.3-nccl-cuda9/h2o4gpu-0.3.0-cp36-cp36m-linux_x86_64.whl)
   * Bleeding edge (changes with every successful master branch build):
-    * [CUDA8](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/bleeding-edge/ai/h2o/h2o4gpu/0.2-cuda8/h2o4gpu-0.2.0.9999-cp36-cp36m-linux_x86_64.whl)
-    * [CUDA9.0](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/bleeding-edge/ai/h2o/h2o4gpu/0.2-cuda9/h2o4gpu-0.2.0.9999-cp36-cp36m-linux_x86_64.whl)
-    * [CUDA9.2](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/bleeding-edge/ai/h2o/h2o4gpu/0.2-cuda92/h2o4gpu-0.2.0.9999-cp36-cp36m-linux_x86_64.whl)
+    * [CUDA8](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/bleeding-edge/ai/h2o/h2o4gpu/0.3-cuda8/h2o4gpu-0.3.0.9999-cp36-cp36m-linux_x86_64.whl)
+    * [CUDA9.0](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/bleeding-edge/ai/h2o/h2o4gpu/0.3-cuda9/h2o4gpu-0.3.0.9999-cp36-cp36m-linux_x86_64.whl)
+    * [CUDA9.2](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/bleeding-edge/ai/h2o/h2o4gpu/0.3-cuda92/h2o4gpu-0.3.0.9999-cp36-cp36m-linux_x86_64.whl)
   * [For Conda (unsupported and untested by H2O.ai)]
     ```
         pip install --extra-index-url https://pypi.anaconda.org/gpuopenanalytics/simple h2o4gpu
@@ -71,7 +71,7 @@ overwrite your py3nvml and xgboost installations to use our validated
 versions.
 
 ```
-pip install h2o4gpu-0.2.0-cp36-cp36m-linux_x86_64.whl
+pip install h2o4gpu-0.3.0-cp36-cp36m-linux_x86_64.whl
 ```
 
 At this point, you should have installed the H2O4GPU Python package successfully. You can then go ahead and install the `h2o4gpu` R package via the following:
@@ -144,14 +144,14 @@ Requirements:
 Download the Docker file (for linux_x86_64):
 
   * Bleeding edge (changes with every successful master branch build):
-    * [CUDA8](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/bleeding-edge/ai/h2o/h2o4gpu/0.2-cuda8/h2o4gpu-0.2.0.9999-cuda8-runtime.tar.bz2)
-    * [CUDA9](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/bleeding-edge/ai/h2o/h2o4gpu/0.2-cuda9/h2o4gpu-0.2.0.9999-cuda9-runtime.tar.bz2)
-    * [CUDA9.2](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/bleeding-edge/ai/h2o/h2o4gpu/0.2-cuda92/h2o4gpu-0.2.0.9999-cuda92-runtime.tar.bz2)
+    * [CUDA8](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/bleeding-edge/ai/h2o/h2o4gpu/0.3-cuda8/h2o4gpu-0.3.0.9999-cuda8-runtime.tar.bz2)
+    * [CUDA9](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/bleeding-edge/ai/h2o/h2o4gpu/0.3-cuda9/h2o4gpu-0.3.0.9999-cuda9-runtime.tar.bz2)
+    * [CUDA9.2](https://s3.amazonaws.com/h2o-release/h2o4gpu/releases/bleeding-edge/ai/h2o/h2o4gpu/0.3-cuda92/h2o4gpu-0.3.0.9999-cuda92-runtime.tar.bz2)
 
 Load and run docker file (e.g. for bleeding-edge of cuda90):
 ```
-pbzip2 -dc h2o4gpu-0.2.0.9999-cuda90-runtime.tar.bz2 | nvidia-docker load
-mkdir -p log ; nvidia-docker run --name localhost --rm -p 8888:8888 -u `id -u`:`id -g` -v `pwd`/log:/log --entrypoint=./run.sh opsh2oai/h2o4gpu-0.2.0.9999-cuda90-runtime &
+pbzip2 -dc h2o4gpu-0.3.0.9999-cuda90-runtime.tar.bz2 | nvidia-docker load
+mkdir -p log ; nvidia-docker run --name localhost --rm -p 8888:8888 -u `id -u`:`id -g` -v `pwd`/log:/log --entrypoint=./run.sh opsh2oai/h2o4gpu-0.3.0.9999-cuda90-runtime &
 find log -name jupyter* -type f -printf '%T@ %p\n' | sort -k1 -n | awk '{print $2}' | tail -1 | xargs cat | grep token | grep http | grep -v NotebookApp
 ```
 Copy/paste the http link shown into your browser.  If the "find" command doesn't work, look for the latest jupyter.log file and look at contents for the http link and token.

make/version.mk

@@ -1,2 +1,2 @@
 # Build version number
-BASE_VERSION = 0.2.0.10000
+BASE_VERSION = 0.3.0.10000

src/interface_py/h2o4gpu/__init__.base.py

@@ -6,7 +6,7 @@
 #Skip pylint b / c this is automatically concatenated at compile time
 #with other init files
 # TODO: grab this from BUILD_INFO.txt or __about__.py
-__version__ = "0.2.0.9999"
+__version__ = "0.3.0.9999"
 
 DAAL_SUPPORTED=True
 

src/interface_r/DESCRIPTION

@@ -1,7 +1,7 @@
 Package: h2o4gpu
 Type: Package
 Title: Interface to 'H2O4GPU'
-Version: 0.2.0.9999
+Version: 0.3.0.9999
 Authors@R: c(
   person("Yuan", "Tang", role = c("aut"),
          email = "terrytangyuan@gmail.com",