EmbeddingResult embed(const LMatrixType& lhs, const RMatrixType& rhs, IndexType target_dimension, unsigned int skip)
{
timed_context context("ARPACK DSXUPD generalized eigendecomposition");
#ifndef TAPKEE_NO_ARPACK
ArpackGeneralizedSelfAdjointEigenSolver<LMatrixType, RMatrixType, MatrixTypeOperation>
arpack(lhs,rhs,target_dimension+skip,"SM");
if (arpack.info() == Eigen::Success)
{
stringstream ss;
ss << "Took " << arpack.getNbrIterations() << " iterations.";
LoggingSingleton::instance().message_info(ss.str());
DenseMatrix embedding_feature_matrix = (arpack.eigenvectors()).block(0,skip,lhs.cols(),target_dimension);
return EmbeddingResult(embedding_feature_matrix,arpack.eigenvalues().tail(target_dimension));
}
else
{
throw eigendecomposition_error("eigendecomposition failed");
}
return EmbeddingResult();
#else
return EmbeddingResult();
#endif
}
EmbeddingResult embed(const LMatrixType& lhs, const RMatrixType& rhs, unsigned int target_dimension, unsigned int skip)
{
timed_context context("ARPACK DSXUPD generalized eigendecomposition");
ArpackGeneralizedSelfAdjointEigenSolver<LMatrixType, RMatrixType, MatrixTypeOperation> arpack(lhs,rhs,target_dimension+skip,"SM");
DenseMatrix embedding_feature_matrix = (arpack.eigenvectors()).block(0,skip,lhs.cols(),target_dimension);
return EmbeddingResult(embedding_feature_matrix,arpack.eigenvalues().tail(target_dimension));
}
EmbeddingResult embed(const LMatrixType& lhs, const RMatrixType& rhs, unsigned int target_dimension, unsigned int skip)
{
timed_context context("Eigen dense generalized eigendecomposition");
DenseMatrix dense_lhs = lhs;
DenseMatrix dense_rhs = rhs;
Eigen::GeneralizedSelfAdjointEigenSolver<DenseMatrix> solver(dense_lhs, dense_rhs);
DenseMatrix embedding_feature_matrix = (solver.eigenvectors()).block(0,skip,lhs.cols(),target_dimension);
return EmbeddingResult(embedding_feature_matrix,solver.eigenvalues().tail(target_dimension));
}
EmbeddingResult embed(const LMatrixType& lhs, const RMatrixType& rhs, IndexType target_dimension, unsigned int skip)
{
timed_context context("Eigen dense generalized eigendecomposition");
DenseMatrix dense_lhs = lhs;
DenseMatrix dense_rhs = rhs;
Eigen::GeneralizedSelfAdjointEigenSolver<DenseMatrix> solver(dense_lhs, dense_rhs);
if (solver.info() == Eigen::Success)
{
DenseMatrix embedding_feature_matrix = (solver.eigenvectors()).block(0,skip,lhs.cols(),target_dimension);
return EmbeddingResult(embedding_feature_matrix,solver.eigenvalues().tail(target_dimension));
}
else
{
throw eigendecomposition_error("eigendecomposition failed");
}
return EmbeddingResult();
}
