/** * Returns a new, empty weight vector with the same parameter settings as this one. * * @return An empty weight vector. **/ public SparseWeightVector emptyClone() { return new BiasedRandomWeightVector(stddev); } }
conjunctiveLabels |= labelLexicon.lookupKey(label).isConjunctive(); while (N++ <= label) network.add(new BiasedRandomWeightVector());