Spark: Learn Spark In A DAY! - The Ultimate Crash Course to Learning the Basics of Spark In No Time (Spark, Spark Course, Spark Development, Spark Books, Spark for Beginners) by Acodemy

Author:Acodemy [Acodemy]
Language: eng
Format: epub
Published: 2015-08-03T18:30:00+00:00

// Model building

val count = 40

val model = LinearRegressionWithSGD.train(data, count)

// While using the test data - one can evaluate model to find out test error.

val predictedVals = data.map { modelElement =>

val predictedValue = model.predict(modelElement.features)

(modelElement.label, predictedValue)

}

val MeanSquareError = predictedVals.map{ case(w, pow) => math.pow((w - pow), 2)}.reduce(_ + _)/predictedVals.count

Support Vector Machines (SVM) Algorithm

Implementation of SVM algorithm in Spark REPL environment is as below.

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