The following Matlab project contains the source code and Matlab examples used for boosted generalized additive models (bgam) package .
bgam - Boosted Generalized Additive Models package
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Implements boosting for the Generalized Additive and Linear Models (GAM and GLM).

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

## Project Files:

File Name | Size |
---|---|

BinomialLogistic.m | 1347 |

NormalIdentity.m | 645 |

PoissonExponential.m | 772 |

WeightedBernouilliLogistic.m | 1740 |

WeightedBernouilliLogistic.m~ | 1722 |

GroupLinear.m | 3112 |

GroupLinear.m~ | 3408 |

Linear.m | 1940 |

Stub.m | 2714 |

CVFit.m | 567 |

CVFitParams.m | 2683 |

Dlink.m | 1445 |

Fit.m | 2600 |

FitParams.m | 2196 |

FitParams.m~ | 1873 |

Trainer.m | 3667 |

fasterStubLearner.readme.txt | 669 |

fitbgam.m | 10070 |

fitcvbgam.m | 6625 |

getBestSpotStubLearner.c | 1987 |

license.txt | 1316 |

readme.txt | 2979 |

TestBgam.m | 5236 |