Skip to Content
Java: Data Science Made Easy
book

Java: Data Science Made Easy

by Richard M. Reese, Jennifer L. Reese, Alexey Grigorev
July 2017
Beginner to intermediate
715 pages
17h 3m
English
Packt Publishing
Content preview from Java: Data Science Made Easy

Reading and preparing the data

The first task is to read in the data. We will use the CSVRecordReader class to get the data, as explained in Reading in a CSV file:

RecordReader recordReader = new CSVRecordReader(0, ","); recordReader.initialize(new FileSplit(new File("car.txt"))); DataSetIterator iterator = new   RecordReaderDataSetIterator(recordReader, 1728, 6, 4); 

 

With this dataset, we will split the data into two sets. Sixty five percent of the data is used for training and the rest for testing:

DataSet dataset = iterator.next(); dataset.shuffle(); SplitTestAndTrain testAndTrain = dataset.splitTestAndTrain(0.65); DataSet trainingData = testAndTrain.getTrain(); DataSet testData = testAndTrain.getTest(); 

The data now needs to be normalized: ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Java Data Science Cookbook

Java Data Science Cookbook

Rushdi Shams
Java for Data Science

Java for Data Science

Walter Molina, Richard M. Reese, Shilpi Saxena, Jennifer L. Reese

Publisher Resources

ISBN: 9781788475655Supplemental Content