Description Usage Arguments Value Examples

Fit SVM with Logistic loss function.

1 2 |

`YMAT` |
Data. First column is -1 or 1 indicating the class of each observation. The remaining columns are the coordinates of the data points. |

`DIM` |
Dimension of data. Default value is 2. |

`EPSILON` |
Small perturbation value needed in calculation. Default value is 0.00001. |

`returnAll` |
Return all of theta values? Boolean with default value FALSE. |

`rho` |
Sensitivity factor to adjust the level of change in the SVM fit when a new observation is added. Default value 1.0 |

A list containing:

`THETA` |
SVM fit parameters. |

`NN` |
Number of observation points in YMAT. |

`DIM` |
Dimension of data. |

`THETA_list` |
THETA at each iteration (new point observed) as YMAT is fed into the algorithm one data point at a time. |

`CHI` |
Intermediate value CHI at each iteration (new point observed). |

1 2 | ```
YMAT <- generateSim(10^4)
l1<-Logistic(YMAT$YMAT,returnAll=TRUE)
``` |

SSOSVM documentation built on May 6, 2019, 5:01 p.m.

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