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 |

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