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Mastering Java for Data Science

You're reading from   Mastering Java for Data Science Analytics and more for production-ready applications

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781782174271
Length 364 pages
Edition 1st Edition
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Author (1):
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Alexey Grigorev Alexey Grigorev
Author Profile Icon Alexey Grigorev
Alexey Grigorev
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Toc

Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "Here, we create SummaryStatistics objects and add all body content lengths."

A block of code is set as follows:

SummaryStatistics statistics = new SummaryStatistics(); data.stream().mapToDouble(RankedPage::getBodyContentLength)
.forEach(statistics::addValue);
System.out.println(statistics.getSummary());

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

mvn dependency:copy-dependencies -DoutputDirectory=lib 
mvn compile

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "If, instead, our model outputs some score such that the higher the values of the score the more likely the item is to be positive, then the binary classifier is called a ranking classifier."

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