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Bump hard-wired version numbers for v0.10

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elibarzilay committed Nov 15, 2017
1 parent 501da9d commit 36740ea06ecd2be1cceb0e6372f8e37288292367
Showing with 19 additions and 19 deletions.
  1. +6 −6
  2. +4 −4 docs/
  3. +9 −9 docs/
@@ -103,9 +103,9 @@ MMLSpark can be conveniently installed on existing Spark clusters via the
`--packages` option, examples:
spark-shell --packages Azure:mmlspark:0.9
pyspark --packages Azure:mmlspark:0.9
spark-submit --packages Azure:mmlspark:0.9 MyApp.jar
spark-shell --packages Azure:mmlspark:0.10
pyspark --packages Azure:mmlspark:0.10
spark-submit --packages Azure:mmlspark:0.10 MyApp.jar
<img title="Script action submission" src="" align="right" />
@@ -119,7 +119,7 @@ script actions, see [this
The script action url is:
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
@@ -135,7 +135,7 @@ To install MMLSpark on the
[library from Maven coordinates](
in your workspace.
For the coordinates use: ``. Then, under
For the coordinates use: ``. Then, under
Advanced Options, use `` for the repository.
Ensure this library is attached to all clusters you create.
@@ -150,7 +150,7 @@ your `build.sbt`:
resolvers += "MMLSpark Repo" at ""
libraryDependencies += "" %% "mmlspark" % "0.9"
libraryDependencies += "" %% "mmlspark" % "0.10"
### Building from source
@@ -29,7 +29,7 @@ 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:0.9` for using the `0.9` tag.
`microsoft/mmlspark:0.10` for using the `0.10` 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
@@ -47,7 +47,7 @@ that you will probably want to use can look as follows:
-p \
-v ~/myfiles:/notebooks/myfiles \
In this example, backslashes are used to break things up for readability; you
@@ -59,7 +59,7 @@ path and line breaks looks a little different:
-p `
-v C:\myfiles:/notebooks/myfiles `
Let's break this command and go over the meaning of each part:
@@ -143,7 +143,7 @@ Let's break this command and go over the meaning of each part:
* **`microsoft/mmlspark:0.9`**
* **`microsoft/mmlspark:0.10`**
Finally, this specifies an explicit version tag for the image that we want to
@@ -26,7 +26,7 @@ to check availability in your data center.
MMLSpark provides an Azure Resource Manager (ARM) template to create a setup
that includes an HDInsight cluster and/or a GPU machine for training. The
template can be found here:
It has the following parameters that configure the HDI Spark cluster and
the associated GPU VM:
@@ -48,16 +48,16 @@ the associated GPU VM:
- `gpuVirtualMachineSize`: The size of the GPU virtual machine to create
There are actually two additional templates that are used from this main template:
- [`spark-cluster-template.json`](
- [`spark-cluster-template.json`](
A template for creating an HDI Spark cluster within a VNet, including
MMLSpark and its dependencies. (This template installs MMLSpark using
the HDI script action:
- [`gpu-vm-template.json`](
- [`gpu-vm-template.json`](
A template for creating a GPU VM within an existing VNet, including
CNTK and other dependencies that MMLSpark needs for GPU training.
(This is done via a script action that runs
Note that these child templates can also be deployed independently, if
you don't need both parts of the installation.
@@ -66,7 +66,7 @@ you don't need both parts of the installation.
### 1. Deploy an ARM template within the [Azure Portal](
[Click here to open the above
in the Azure portal.
(If needed, you click the **Edit template** button to view and edit the
@@ -84,11 +84,11 @@ We also provide a convenient shell script to create a deployment on the
command line:
* Download the [shell
and make a local copy of it
* Create a JSON parameter file by downloading [this template
and modify it according to your specification.
You can now run the script — it takes the following arguments:
@@ -121,7 +121,7 @@ you for all needed values.
### 3. Deploy an ARM template with the MMLSpark Azure PowerShell
MMLSpark also provides a [PowerShell
to deploy ARM templates, similar to the above bash script. Run it with
`-?` to see the usage instructions (or use `get-help`). If needed,
install the Azure PowerShell cmdlets using the instructions in the

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