Man pages for frankongre/RcppGLM
Parallel Generalization Linear Mode
| condprob | conditional probability for gradient descent |
| DGEMM | DGEMM |
| dgemm_blas | dgemm_blas |
| dgeqr_lapack | dgeqr_lapack |
| dimension-methods | dimension method |
| DMM | DMM |
| error-logisticRegression-method | error calculation |
| error-methods | error method |
| GLM-class | __cplusplus__ class nested && S4 object nested |
| glmCV | glmCV |
| gradient-methods | gradient method |
| hessian | hessian matrix |
| initialize-methods | constructor for Optimizer |
| labelMNIST | labelMNIST |
| linesearch | Line searcher function |
| loadMNIST | loadMNIST |
| logisticRegression-class | optimization related function Class logisticRegression |
| loglikelihood | loglikelihood to calculate the objval for logistic regression |
| mini_mnist | mini_mnist data is the hand writing digits classification... |
| mm_benchmark | mm_benchmark |
| mnist_show | mnist_show |
| multiplot | multiplot |
| objval-methods | objval method |
| Optimizer-class | Class "Optimizer" |
| predict-methods | predict method |
| RcppGLM | A parallel generalization linear model solver for large scale... |
| solve_hessian-methods | solve_hessian method |
| strassenMM | strassenMM |
| summary-methods | summary method |
| train-methods | train method |
