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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Word2Vec with Spark ML on the 20 Newsgroups dataset
In this section, we look at how to use the Spark ML DataFrame and newer implementations from Spark 2.0.X to create a Word2Vector model.
We will create a DataFrame from the dataSet:
val spConfig = (new SparkConf).setMaster("local").setAppName("SparkApp")val spark = SparkSession .builder .appName("Word2Vec Sample").config(spConfig) .getOrCreate()import spark.implicits._val rawDF = spark.sparkContext .wholeTextFiles("./data/20news-bydate-train/alt.atheism/*") val temp = rawDF.map( x => { (x._2.filter(_ >= ' ').filter(! _.toString.startsWith("(")) ) }) val textDF = temp.map(x => x.split(" ")).map(Tuple1.apply) .toDF("text")
This will be followed by creating the Word2Vec class and training ...
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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.