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Documentation updates
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jakubhava committed Jan 23, 2018
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1 change: 0 additions & 1 deletion doc/tutorials/pysparkling_azure_dbc.rst
Expand Up @@ -29,7 +29,6 @@ To start Sparkling Water ``H2OContext`` on Databricks Azure, the steps are:
4. Create the cluster

- Make sure the library is attached to the cluster
- Put ``spark.ui.enabled false`` line in the spark configuration field. This is currently required due to limitation in our code and will be fixed as soon as possible.

- Select Spark version according to you Sparkling Water version:
- for the latest PySparkling 2.2, select Spark 2.2.1.
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1 change: 0 additions & 1 deletion doc/tutorials/rsparkling_azure_dbc.rst
Expand Up @@ -26,7 +26,6 @@ To start Sparkling Water ``H2OContext`` on Databricks Azure, the steps are:
4. Create the cluster

- Make sure the assembly JAR is attached to the cluster
- Put ``spark.ui.enabled false`` line in the spark configuration field. This is currently required due to limitation in our code and will be fixed as soon as possible.

- Select Spark version according to your Sparkling Water version:
- for the latest Sparkling Water 2.2.7, select Spark 2.2.0. Spark 2.2.1 is not yet supported due to missing SparklyR support.
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1 change: 0 additions & 1 deletion doc/tutorials/sw_azure_dbc.rst
Expand Up @@ -27,7 +27,6 @@ To start Sparkling Water ``H2OContext`` on Databricks Azure, the steps are:
4. Create the cluster

- Make sure the assembly JAR is attached to the cluster
- Put ``spark.ui.enabled false`` line in the spark configuration field. This is currently required due to limitation in our code and will be fixed as soon as possible.

- Select Spark version according to your Sparkling Water version:
- for the latest Sparkling Water 2.2.7, select Spark 2.2.1.
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