public Tuple1<Double> map(DenseVector v) throws Exception {
double mu[] = {1, 2};
double cov[][] = {{1.9837212, 0.8039848}, {0.8039848, 0.6288061}};
MultivariateNormalDistribution mnd = new MultivariateNormalDistribution(mu, cov);
Double value = 0.0;
value = mnd.density(v.data());
System.out.println("VAL: " + value);
return new Tuple1<Double>(value);
}
private void CalculateLogLikelihood() {
sum_log_likelihood_ = 0;
for (int ii = 0; ii < number_of_observations_; ii++) {
if (observations_ref_[ii] == null) {
continue;
}
// System.out.println(ii);
// System.out.println(predicted_observation_covariances_[ii]);
MultivariateNormalDistribution dist =
new MultivariateNormalDistribution(
predicted_observation_means_[ii].getColumn(0).toArray(),
predicted_observation_covariances_[ii].toArray2());
sum_log_likelihood_ += Math.log(dist.density(observations_ref_[ii].getColumn(0).toArray()));
}
}
