Manual hyperparamter tuning

Manual hyperparamter tuning

                // Tune hyper-parameters with K-fold Cross-Validation on the split training set.
                int[] pSet = new int[] {1, 2};
                int[] maxDeepSet = new int[] {1, 2, 3, 4, 5, 10, 20};
                int bestP = 1;
                int bestMaxDeep = 1;
                double avg = Double.MIN_VALUE;

                for (int p : pSet) {
                    for (int maxDeep : maxDeepSet) {

                        Preprocessor<Integer, Vector> normalizationPreprocessor = new NormalizationTrainer<Integer, Vector>()
                            .withP(p)
                            .fit(
                                ignite,
                                dataCache,
                                minMaxScalerPreprocessor
                            );

                        DecisionTreeClassificationTrainer trainer
                            = new DecisionTreeClassificationTrainer(maxDeep, 0);