/**
* Randomly initializes this GaussianMixture for a given number of terms.
*
* @param random a {@link java.util.Random} object.
* @param numTerms a number of terms.
*/
public void randomInitialization(Random random, int numTerms) {
this.coefficients = new double[numTerms];
this.terms = new ArrayList<>(numTerms);
for (int k = 0; k < numTerms; k++) {
this.coefficients[k] = random.nextDouble();
Normal aux = new Normal(this.var);
aux.setMean(5 * random.nextGaussian());
aux.setVariance(random.nextDouble());
this.terms.add(aux);
}
;
DoubleStream aux = Arrays.stream(this.coefficients);
double suma = aux.sum();
aux = Arrays.stream(this.coefficients);
this.coefficients = aux.map(x -> x / suma).toArray();
// System.out.println(coefficients);
// this.coefficients = this.coefficients / .map().sum();
}
