Scale machine learning for massive datasets

Global functions | |
---|---|

AIC.GMM | Source code |

BIC.GMM | Source code |

GMM.fit | Source code |

LOL | Source code |

QOQ | Source code |

SVM | Source code |

coef.lda | Source code |

compute.lower.bound | Source code |

est.logprob | Source code |

est.weighted.logprob | Source code |

esti.cov.diag | Source code |

esti.cov.full | Source code |

esti.cov.spherical | Source code |

esti.cov.tied | Source code |

esti.gaussian.params | Source code |

fm.PageRank | Source code |

fm.dmvnorm | Source code |

fm.estep | Source code |

fm.mstep | Source code |

fm.spectral.embedding | Source code |

get.nparameters | Source code |

getElbows | Source code |

gradient.descent | Source code |

hinge.grad | Source code |

hinge.loss | Source code |

init.params | Source code |

lbfgs.H | Source code |

lda.default1 | Source code |

lda.fm | Source code |

ldahist | Source code |

logistic.cost | Source code |

logistic.grad | Source code |

logistic.hessian | Source code |

logistic.regression | Source code |

logsumexp | Source code |

model.frame.lda | Source code |

mvrnorm | Source code |

naiveBayes.predict | Source code |

naiveBayes.train | Source code |

pairs.lda | Source code |

plot.lda | Source code |

predict.lda1 | Source code |

print.lda | Source code |

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