mlr_featurize.cpp

void MultinomialLogRelModel::featurize(const valarray<double>& sample_features, int label, valarray<double>& modelFeatures) const
{
	for (int k = 0; k < num_classes; ++k)  //Loop through classes
	{
		for (int i = 0; i < num_sample_features; ++i ) //loop through features
		{
			modelFeatures[k * (num_sample_features + 1) + i] = (k == label ? sample_features[i] : 0.0);
		}
		modelFeatures[(k + 1) * (num_sample_features + 1) - 1] = (k == label ? 1.0 : 0.0);
	}
}