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 Sample 1. Code Sample / Example / Snippet of org.apache.spark.mllib.regression.IsotonicRegressionModel

        public Tuple3<Double, Double, Double> call(String line) {

String[] parts = line.split(",");

return new Tuple3<>(new Double(parts[0]), new Double(parts[1]), 1.0);

}

}

);



JavaRDD<Tuple3<Double, Double, Double>>[] splits = parsedData.randomSplit(new double[]{0.6, 0.4}, 11L);

JavaRDD<Tuple3<Double, Double, Double>> training = splits[0];

JavaRDD<Tuple3<Double, Double, Double>> test = splits[1];



final IsotonicRegressionModel model = new IsotonicRegression().setIsotonic(true).run(training);



JavaPairRDD<Double, Double> predictionAndLabel = test.mapToPair(

new PairFunction<Tuple3<Double, Double, Double>, Double, Double>() {


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