What is the difference between HashingTF and CountVectorizer in Spark?
Trying to do doc classification in Spark. I am not sure what the hashing does in HashingTF; does it sacrifice any accuracy? I doubt it, but I don't know. The spark doc says it uses the "hashing trick"... just another example of really bad/confusing naming used by engineers (I'm guilty as well). CountVectorizer also requires setting the vocabulary size, but it has another parameter, a threshold par
How do I iterate RDD's in apache spark (scala)
You call various methods on the RDD that accept functions as parameters. // set up an example -- an RDD of arrays val sparkConf = new SparkConf().setMaster("local").setAppName("Example") val sc = new SparkContext(sparkConf) val testData = Array(Array(1,2,3), Array(4,5,6,7,8)) val testRDD = sc.parallelize(testData, 2) // Print the RDD of arrays. testRDD.collect().foreach(a => println(a.size)) // Us
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