sklearn-porter/examples/classifier/DecisionTreeClassifier/java/basics.py at master · QuantJia/sklearn-porter · GitHub

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# -*- coding: utf-8 -*-

from sklearn.tree import tree
from sklearn.datasets import load_iris
from sklearn_porter import Porter


iris_data = load_iris()
X, y = iris_data.data, iris_data.target

clf = tree.DecisionTreeClassifier()
clf.fit(X, y)

output = Porter(clf).export()
# output = Porter(clf, language='java').export()
print(output)

"""
class Brain {

    public static int predict(float[] atts) {
        if (atts.length != 4) { return -1; }
        int[] classes = new int[3];

        if (atts[2] <= 2.4500000476837158) {
            classes[0] = 50;
            classes[1] = 0;
            classes[2] = 0;
        } else {
            if (atts[3] <= 1.75) {
                if (atts[2] <= 4.9499998092651367) {
                    if (atts[3] <= 1.6500000953674316) {
                        classes[0] = 0;
                        classes[1] = 47;
                        classes[2] = 0;
                    } else {
                        classes[0] = 0;
                        classes[1] = 0;
                        classes[2] = 1;
                    }
                } else {
                    if (atts[3] <= 1.5499999523162842) {
                        classes[0] = 0;
                        classes[1] = 0;
                        classes[2] = 3;
                    } else {
                        if (atts[2] <= 5.4499998092651367) {
                            classes[0] = 0;
                            classes[1] = 2;
                            classes[2] = 0;
                        } else {
                            classes[0] = 0;
                            classes[1] = 0;
                            classes[2] = 1;
                        }
                    }
                }
            } else {
                if (atts[2] <= 4.8500003814697266) {
                    if (atts[0] <= 5.9499998092651367) {
                        classes[0] = 0;
                        classes[1] = 1;
                        classes[2] = 0;
                    } else {
                        classes[0] = 0;
                        classes[1] = 0;
                        classes[2] = 2;
                    }
                } else {
                    classes[0] = 0;
                    classes[1] = 0;
                    classes[2] = 43;
                }
            }
        }

        int class_idx = 0;
        int class_val = classes[0];
        for (int i = 1; i < 3; i++) {
            if (classes[i] > class_val) {
                class_idx = i;
                class_val = classes[i];
            }
        }
        return class_idx;
    }

    public static void main(String[] args) {
        if (args.length == 4) {
            float[] atts = new float[args.length];
            for (int i = 0, l = args.length; i < l; i++) {
                atts[i] = Float.parseFloat(args[i]);
            }
            System.out.println(Brain.predict(atts));
        }
    }
}
"""