Bump hard-wired version to 0.7

README.md

@@ -85,13 +85,13 @@ notebooks.  See the [documentation](docs/docker.md) for more on Docker use.
 MMLSpark can be conveniently installed on existing Spark clusters via the
 `--packages` option, examples:
 
-    spark-shell --packages com.microsoft.ml.spark:mmlspark_2.11:0.6 \
+    spark-shell --packages com.microsoft.ml.spark:mmlspark_2.11:0.7 \
                 --repositories https://mmlspark.azureedge.net/maven
 
-    pyspark --packages com.microsoft.ml.spark:mmlspark_2.11:0.6 \
+    pyspark --packages com.microsoft.ml.spark:mmlspark_2.11:0.7 \
             --repositories https://mmlspark.azureedge.net/maven
 
-    spark-submit --packages com.microsoft.ml.spark:mmlspark_2.11:0.6 \
+    spark-submit --packages com.microsoft.ml.spark:mmlspark_2.11:0.7 \
                  --repositories https://mmlspark.azureedge.net/maven \
                  MyApp.jar
 
@@ -106,7 +106,7 @@ script actions, see [this
 guide](https://docs.microsoft.com/en-us/azure/hdinsight/hdinsight-hadoop-customize-cluster-linux#use-a-script-action-during-cluster-creation).
 
 The script action url is:
-<https://mmlspark.azureedge.net/buildartifacts/0.6/install-mmlspark.sh>.
+<https://mmlspark.azureedge.net/buildartifacts/0.7/install-mmlspark.sh>.
 
 If you're using the Azure Portal to run the script action, go to `Script
 actions` → `Submit new` in the `Overview` section of your cluster blade.  In the
@@ -122,7 +122,7 @@ To install MMLSpark on the
 [library from Maven coordinates](https://docs.databricks.com/user-guide/libraries.html#libraries-from-maven-pypi-or-spark-packages)
 in your workspace.
 
-For the coordinates use: `com.microsoft.ml.spark:mmlspark:0.6`.  Then, under
+For the coordinates use: `com.microsoft.ml.spark:mmlspark:0.7`.  Then, under
 Advanced Options, use `https://mmlspark.azureedge.net/maven` for the repository.
 Ensure this library is attached to all clusters you create.
 
@@ -137,7 +137,7 @@ your `build.sbt`:
 
    ```scala
    resolvers += "MMLSpark Repo" at "https://mmlspark.azureedge.net/maven"
-   libraryDependencies += "com.microsoft.ml.spark" %% "mmlspark" % "0.6"
+   libraryDependencies += "com.microsoft.ml.spark" %% "mmlspark" % "0.7"
    ```
 
 ### Building from source

docs/docker.md

@@ -25,7 +25,7 @@ You can now select one of the sample notebooks and run it, or create your own.
 In the above, `microsoft/mmlspark` specifies the project and image name that you
 want to run.  There is another component implicit here which is the *tag* (=
 version) that you want to use — specifying it explicitly looks like
-`microsoft/mmlspark:0.6` for using the `0.6` tag.
+`microsoft/mmlspark:0.7` for using the `0.7` tag.
 
 Leaving `microsoft/mmlspark` by itself has an implicit `latest` tag, so it is
 equivalent to `microsoft/mmlspark:latest`.  The `latest` tag is identical to the
@@ -42,7 +42,7 @@ that you will probably want to use can look as follows:
                -e ACCEPT_EULA=y \
                -p 127.0.0.1:80:8888 \
                -v ~/myfiles:/notebooks/myfiles \
-               microsoft/mmlspark:0.6
+               microsoft/mmlspark:0.7
 
 In this example, backslashes are used to break things up for readability; you
 can enter it as one long like.  Note that in powershell, the `myfiles` local
@@ -52,7 +52,7 @@ path and line breaks looks a little different:
                -e ACCEPT_EULA=y `
                -p 127.0.0.1:80:8888 `
                -v C:\myfiles:/notebooks/myfiles `
-               microsoft/mmlspark:0.6
+               microsoft/mmlspark:0.7
 
 Let's break this command and go over the meaning of each part:
 
@@ -133,7 +133,7 @@ Let's break this command and go over the meaning of each part:
       ...
       model.write().overwrite().save('myfiles/myTrainedModel.mml')
 
-* **`microsoft/mmlspark:0.6`**
+* **`microsoft/mmlspark:0.7`**
 
   Finally, this specifies an explicit version tag for the image that we want to
   run.