April 2017
Intermediate to advanced
532 pages
12h 39m
English
book
Machine Learning with Spark - Second Edition
by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
Content preview from Machine Learning with Spark - Second Edition
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IDF
The inverse document frequency(IDF)represents how much information the word provides: is the term common or rare across the corpus. It is the log scaled inverse fraction of the documents containing the word, calculated by division of the total number of documents by the number of documents containing the termTF-IDF
TF-IDF is calculated by multiplying TF and IDF.
The following example calculates TFIDF for each term in the Apache Spark README.md file:
object TfIdfSample{ def main(args: Array[String]) { // TODO replace with path specific to your machine val file = Util.SPARK_HOME + "/README.md" val spConfig = (new SparkConf).setMaster("local").setAppName("SparkApp") ...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,
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.