Accord.NET Framework

## BinaryLikelihoodClassifierBaseTInputLogLikelihood Method |

Overload List

Name | Description | |
---|---|---|

LogLikelihood(TInput) |
Predicts a class label vector for the given input vector, returning the
log-likelihood that the input vector belongs to its predicted class.
| |

LogLikelihood(TInput) |
Predicts a class label vector for the given input vector, returning the
log-likelihood that the input vector belongs to its predicted class.
| |

LogLikelihood(TInput, Boolean) |
Predicts a class label vector for the given input vector, returning the
log-likelihood that the input vector belongs to its predicted class.
| |

LogLikelihood(TInput, Double) | ||

LogLikelihood(TInput, Int32) | ||

LogLikelihood(TInput, Boolean) |
Predicts a class label for each input vector, returning the
log-likelihood that each vector belongs to its predicted class.
| |

LogLikelihood(TInput, Double) |
Predicts a class label vector for the given input vectors, returning the
log-likelihood that the input vector belongs to its predicted class.
| |

LogLikelihood(TInput, Double) |
Predicts a class label for each input vector, returning the
log-likelihood that each vector belongs to its predicted class.
| |

LogLikelihood(TInput, Int32) |
Predicts a class label for each input vector, returning the
log-likelihood that each vector belongs to its predicted class.
| |

LogLikelihood(TInput, Boolean, Double) | ||

LogLikelihood(TInput, Double, Double) | ||

LogLikelihood(TInput, Int32, Double) |

See Also