_losses | spams::FISTA::LossMatSup< T, SqLossMissing< T > > | protected |
_N | spams::FISTA::LossMatSup< T, SqLossMissing< T > > | protected |
dummy() | spams::FISTA::LossMat< T, SqLossMissing< T > > | inlinevirtual |
eval(const Matrix< T > &w) const | spams::FISTA::LossMatSup< T, SqLossMissing< T > > | inlinevirtual |
fenchel(const Matrix< T > &input) const | spams::FISTA::LossMatSup< T, SqLossMissing< T > > | inlinevirtual |
grad(const Matrix< T > &w, Matrix< T > &grad) const | spams::FISTA::LossMatSup< T, SqLossMissing< T > > | inlinevirtual |
init(const Matrix< T > &input) | spams::FISTA::LossMatSup< T, SqLossMissing< T > > | inlinevirtual |
is_fenchel() const | spams::FISTA::LossMatSup< T, SqLossMissing< T > > | inlinevirtual |
Loss() | spams::FISTA::Loss< T, Matrix< T >, Matrix< T > > | inline |
LossMat(const int N, const AbstractMatrixB< T > &X) | spams::FISTA::LossMat< T, SqLossMissing< T > > | inline |
LossMatSup() | spams::FISTA::LossMatSup< T, SqLossMissing< T > > | inline |
test_backtracking(const Matrix< T > &y, const Matrix< T > &grad, const Matrix< T > &prox, const T L) const | spams::FISTA::Loss< T, Matrix< T >, Matrix< T > > | inlinevirtual |
var_fenchel(const Matrix< T > &x, Matrix< T > &grad1, Matrix< T > &grad2, const bool intercept) const | spams::FISTA::LossMatSup< T, SqLossMissing< T > > | inlinevirtual |
~Loss() | spams::FISTA::Loss< T, Matrix< T >, Matrix< T > > | inlinevirtual |
~LossMat() | spams::FISTA::LossMat< T, SqLossMissing< T > > | inlinevirtual |
~LossMatSup() | spams::FISTA::LossMatSup< T, SqLossMissing< T > > | inlinevirtual |