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Machine Learning with Spark - Second Edition
book

Machine Learning with Spark - Second Edition

by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
April 2017
Intermediate to advanced
532 pages
12h 39m
English
Packt Publishing
Content preview from Machine Learning with Spark - Second Edition

Comparing raw features with processed tf-idf features on the 20 Newsgroups dataset

In this example, we will simply apply the hashing term frequency transformation to the raw text tokens obtained using a simple whitespace splitting of the document text. We will train a model on this data and evaluate the performance on the test set as we did for the model trained with tf-idf features:

val rawTokens = rdd.map { case (file, text) => text.split(" ") } val rawTF = texrawTokenst.map(doc => hashingTF.transform(doc)) val rawTrain = newsgroups.zip(rawTF).map { case (topic, vector)    => LabeledPoint(newsgroupsMap(topic), vector) } val rawModel = NaiveBayes.train(rawTrain, lambda = 0.1) val rawTestTF = testRDD.map { case (file, text) =>  hashingTF.transform(text.split(" ...
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Publisher Resources

ISBN: 9781785889936