This book assumes that the user has a working knowledge of the Java language and a basic idea about machine learning. This book heavily uses external libraries that are available in JAR format. It is assumed that the user is aware of using JAR files in Terminal or Command Prompt, although the book does also explain how to do this. The user may easily use this book with any generic Windows or Linux system.

You can download the example code files for this book from your account at www.packt.com. If you purchased this book elsewhere, you can visit www.packt.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

1. Log in or register at www.packt.com.
2. Select the SUPPORT tab.
3. Click on Code Downloads and Errata.
4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

• WinRAR/7-Zip for Windows
• Zipeg/iZip/UnRarX for Mac
• 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Machine-Learning-in-Java-Second-Edition. In case there's an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: http://www.packtpub.com/sites/default/files/downloads/9781788474399_ColorImages.pdf.

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "Unzip the archive and locate weka.jar within the extracted archive."

A block of code is set as follows:

data.defineSingleOutputOthersInput(outputColumn); 

EncogModel model = new EncogModel(data); 
model.selectMethod(data, MLMethodFactory.TYPE_FEEDFORWARD);
model.setReport(new ConsoleStatusReportable()); 
data.normalize(); 

Any command-line input or output is written as follows:

$ java -cp moa.jar -javaagent:sizeofag.jar moa.gui.GUI

Bold: Indicates a new term, an important word, or words that you see on screen. For example, words in menus or dialog boxes appear in the text as bold. Here is an example: "We can convert it to a Comma Separated Value (CSV) format by clicking File | Save As and picking CSV in the saving dialog."