_weightneg | spams::FISTA::LogLoss< T, weighted > | private |
_weightpos | spams::FISTA::LogLoss< T, weighted > | private |
_X | spams::FISTA::LogLoss< T, weighted > | private |
_y | spams::FISTA::LogLoss< T, weighted > | private |
eval(const Vector< T > &w) const | spams::FISTA::LogLoss< T, weighted > | inlinevirtual |
fenchel(const Vector< T > &input) const | spams::FISTA::LogLoss< T, weighted > | inlinevirtual |
grad(const Vector< T > &w, Vector< T > &grad) const | spams::FISTA::LogLoss< T, weighted > | inlinevirtual |
init(const Vector< T > &y) | spams::FISTA::LogLoss< T, weighted > | inlinevirtual |
is_fenchel() const | spams::FISTA::LogLoss< T, weighted > | inlinevirtual |
LogLoss(const AbstractMatrixB< T > &X) | spams::FISTA::LogLoss< T, weighted > | inline |
LogLoss(const LogLoss< T, weighted > &dict) | spams::FISTA::LogLoss< T, weighted > | explicitprivate |
Loss() | spams::FISTA::Loss< T > | inline |
operator=(const LogLoss< T, weighted > &dict) | spams::FISTA::LogLoss< T, weighted > | private |
test_backtracking(const Vector< T > &y, const Vector< T > &grad, const Vector< T > &prox, const T L) const | spams::FISTA::Loss< T > | inlinevirtual |
var_fenchel(const Vector< T > &w, Vector< T > &grad1, Vector< T > &grad2, const bool intercept) const | spams::FISTA::LogLoss< T, weighted > | inlinevirtual |
~LogLoss() | spams::FISTA::LogLoss< T, weighted > | inlinevirtual |
~Loss() | spams::FISTA::Loss< T > | inlinevirtual |