Running SVM with H2O over Spark
In this recipe, we'll see how to run SVM to predict or classify a cancer.
Getting ready
To step through this recipe, you will need a running Spark Cluster in any one of the following modes: Local, standalone, YARN, Mesos. Include the Spark MLlib package in the build.sbt file so that it downloads the related libraries and the API can be used. Install Hadoop (optionally), Scala, and Java. Also, install Sparkling Water as discussed in the preceding recipe.
How to do it…
Please download the dataset from https://github.com/ChitturiPadma/datasets/blob/master/Breast_CancerData.csv. While including the dependencies sparkling-water-core and sparkling-water-ml, please change the version to 1.6.8.
The sample records in the data ...
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