Implementing logistic regression using Spark ML pipelines
In this recipe, let's see how to run logistic regression algorithms using Spark ML pipelines.
Getting ready
To step through this recipe, you will need a running Spark cluster in any one of the modes, that is, local, standalone, YARN, or Mesos. For installing Spark on a standalone cluster, please refer http://spark.apache.org/docs/latest/spark-standalone.html. Also, 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.
Note
Please download the dataset from the following location: https://github.com/ChitturiPadma/datasets/blob/master/Community_Dataset.csv.
How to do it…
- Let's have a ...
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