Fits Gaussian Processes for Regression

gaussianProcess | Create a gaussianProcess object with a given mean function... |

gp_lml_deriv | Compute the derivative of the log marginal likelihood |

gp_lml_deriv_helper | Compute the derivative of the log marginal likelihood (helper... |

gp_log_marg_like | Compute the marginal log likelihood for a GP with given data,... |

gp_log_marg_like_helper | Compute the log marginal likelihood from parameters of the GP |

log_marginal_like.gaussianProcess | Compute the log marginal likelihood for a GP |

loocv.gaussianProcess | Compute the leave one out CV estimate (Rasmussen & WIllaims... |

matern | Compute the Matern kernel between two matrices |

optimize_hyper_params | Optimize the hyper parameters of a GP |

pdiff | Compute the pairwise differences between X and Y |

pdist_scaled | Compute the scaled pairwise distances between X and Y |

plot.gaussianProcess | Plot the predictive distribution of new data. Only works with... |

predict.gaussianProcess | Get the posterior distribution for f(X) |

rbf | Compute the RBF (Squared Exponential) kernel between two... |

rbf_deriv | Compute the jth partial derivative of the rbf kernel |

sample.gaussianProcess | Sample from the posterior distribution for f(X) (or the... |

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