deepgp-package |
Package deepgp |

ALC |
Active Learning Cohn for Sequential Design |

ALC.dgp2 |
Active Learning Cohn for Sequential Design |

ALC.dgp3 |
Active Learning Cohn for Sequential Design |

ALC.gp |
Active Learning Cohn for Sequential Design |

calc_K |
Calculates covariance matrix |

continue |
Continues MCMC sampling |

continue.dgp2 |
Continues MCMC sampling |

continue.dgp3 |
Continues MCMC sampling |

continue.gp |
Continues MCMC sampling |

EI |
Expected Improvement for Sequential Design |

EI.dgp2 |
Expected Improvement for Sequential Design |

EI.dgp3 |
Expected Improvement for Sequential Design |

EI.gp |
Expected Improvement for Sequential Design |

fit_one_layer |
MCMC sampling for one layer GP |

fit_three_layer |
MCMC sampling for three layer deep GP |

fit_two_layer |
MCMC sampling for two layer deep GP |

IMSE |
Integrated Mean-Squared (prediction) Error for Sequential Design |

IMSE.dgp2 |
Integrated Mean-Squared (prediction) Error for Sequential Design |

IMSE.dgp3 |
Integrated Mean-Squared (prediction) Error for Sequential Design |

IMSE.gp |
Integrated Mean-Squared (prediction) Error for Sequential Design |

plot |
Plots object from "'deepgp'" package |

plot.dgp2 |
Plots object from "'deepgp'" package |

plot.dgp3 |
Plots object from "'deepgp'" package |

plot.gp |
Plots object from "'deepgp'" package |

predict |
Predict posterior mean and variance/covariance |

predict.dgp2 |
Predict posterior mean and variance/covariance |

predict.dgp3 |
Predict posterior mean and variance/covariance |

predict.gp |
Predict posterior mean and variance/covariance |

rmse |
Calculates RMSE |

score |
Calculates score |

sq_dist |
Calculates squared pairwise distances |

trim |
Trim/Thin MCMC iterations |

trim.dgp2 |
Trim/Thin MCMC iterations |

trim.dgp3 |
Trim/Thin MCMC iterations |

trim.gp |
Trim/Thin MCMC iterations |