12 #ifndef MLPACK_METHODS_AMF_COMPLETE_INCREMENTAL_TERMINATION_HPP
13 #define MLPACK_METHODS_AMF_COMPLETE_INCREMENTAL_TERMINATION_HPP
28 template<
class TerminationPolicy>
38 TerminationPolicy tPolicy = TerminationPolicy()) :
46 template<
class MatType>
49 tPolicy.Initialize(V);
52 incrementalIndex = arma::accu(V != 0);
64 tPolicy.Initialize(V);
67 incrementalIndex = V.n_nonzero;
85 if (iteration % incrementalIndex == 0)
86 return tPolicy.IsConverged(W, H);
92 const double&
Index()
const {
return tPolicy.Index(); }
95 const size_t&
Iteration()
const {
return iteration; }
103 const TerminationPolicy&
TPolicy()
const {
return tPolicy; }
105 TerminationPolicy&
TPolicy() {
return tPolicy; }
109 TerminationPolicy tPolicy;
113 size_t incrementalIndex;
121 #endif // MLPACK_METHODS_AMF_COMPLETE_INCREMENTAL_TERMINATION_HPP
bool IsConverged(arma::mat &W, arma::mat &H)
Check if termination criterion is met, if the current iteration means that each point has been visite...
const size_t & MaxIterations() const
Access upper limit of iteration count.
const double & Index() const
Get current value of residue.
const size_t & Iteration() const
Get current iteration count.
const TerminationPolicy & TPolicy() const
Access the wrapped termination policy.
void Initialize(const arma::sp_mat &V)
Initializes the termination policy before stating the factorization.
void Initialize(const MatType &V)
Initializes the termination policy before stating the factorization.
This class acts as a wrapper for basic termination policies to be used by SVDCompleteIncrementalLearn...
CompleteIncrementalTermination(TerminationPolicy tPolicy=TerminationPolicy())
Empty constructor.
TerminationPolicy & TPolicy()
Modify the wrapped termination policy.
size_t & MaxIterations()
Modify maximum number of iterations.