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 |
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