| _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 |