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LogisticRegressionModel model = LogisticRegressionWithSGD.train(points.rdd(), iterations, stepSize); System.out.print("Final w: " + model.weights()); sc.stop(); } }
System.out.println(" " + center); } double cost = model.computeCost(points.rdd()); System.out.println("Cost: " + cost); sc.stop(); } }
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System.out.println("Learned regression tree model:\n" + model); } else { usage(); } sc.stop(); } }
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return cassandraRow.toString(); } }); System.out.println("Data with only 'id' column fetched: \n" + StringUtils.join("\n", rdd4.toArray())); sc.stop(); } public static void main(String[] args) { new JavaApiDemo(); }
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return cassandraRow.toString(); } }); System.out.println("Data with only 'id' column fetched: \n" + StringUtils.join("\n", rdd4.collect())); sc.stop(); } public static void main(String[] args) { new JavaApiDemo(); }