Shows the data of an INDArray which will give a negative entropy value upon calculation of the shannon entropy. DeepLearning 4J Version 1.0.0-beta5

INDArrayNegativeEntropyExample

package wld.nd4j.tests;

import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;

public class TestINDArraryEntropy {

	public static void main(String[] args) {
		TestINDArraryEntropy test = new TestINDArraryEntropy();
		test.execute();
	}
	
	public void execute() {
		System.out.println("Test INDArray entropy function");
		INDArray matrix = getMatrix();
		
		//The value of the Shannon Entropy given by Octave is 5.11436944588675
		System.out.println("Shannon Entropy " + matrix.shannonEntropyNumber());
		System.out.println("Log Entropy " + matrix.logEntropyNumber());
	}
	
	private INDArray getMatrix() {
		float[][] mat = {{ 1.0811f, 1.1187f, 0.9877f, 0.9078f, 0.8864f, 0.8063f },
						 { 1.1656f, 1.2147f, 1.1130f, 1.0366f, 1.0178f, 0.9228f },
						 { 1.0634f, 1.1340f, 1.0338f, 0.9852f, 0.9977f, 0.9189f },
						 { 0.9837f, 1.0720f, 1.0057f, 0.9877f, 1.0316f, 0.9632f },
						 { 0.9441f, 1.0532f, 1.0149f, 1.0310f, 1.0857f, 1.0469f },
						 { 0.8091f, 0.9085f, 0.9013f, 0.9428f, 1.0292f, 1.0120f }}; 
		
		return Nd4j.create(mat);
	}

}