Apache Spark 2.x Machine Learning Cookbook

How to do it...

1. Start a new project in IntelliJ or in an IDE of your choice. Make sure that the necessary JAR files are included.

2. Set up the package location where the program will reside:

package spark.ml.cookbook.chapter4

3. Import the necessary packages for SparkContext to get access to the cluster:

import org.apache.spark.ml.feature.LabeledPointimport org.apache.spark.ml.linalg.Vectorsimport org.apache.spark.ml.classification.LogisticRegressionimport org.apache.spark.sql._

4. Create Spark's configuration and SparkContext so we can have access to the cluster:

val spark = SparkSession.builder.master("local[*]").appName("myLabeledPoint").config("spark.sql.warehouse.dir", ".").getOrCreate()

5. We create the LabeledPoint, using the SparseVector ...