continue_lcm_tree | R Documentation |

can definitely ignore this function, and use lcm_tree directly with various settings. So this function is for lazy persons.

continue_lcm_tree( old_mod, update_hyper_freq = NULL, print_freq = NULL, tol = 1e-08, tol_hyper = 1e-04, max_iter = 5000, nrestarts = 1, keep_restarts = TRUE, parallel = TRUE, log_restarts = FALSE, log_dir = ".", random_init = FALSE, allow_continue = FALSE )

`old_mod` |
fitted object from |

`update_hyper_freq` |
How frequently to update hyperparameters. Default = every 50 iterations. |

`print_freq` |
How often to print out iteration number and current value of epsilon (the difference in objective function value for the two most recent iterations). |

`tol` |
Convergence tolerance for the objective function.
Default is |

`tol_hyper` |
The convergence tolerance for the objective function
between subsequent hyperparameter updates. Typically it is a more generous
tolerance than |

`max_iter` |
Maximum number of iterations of the VI algorithm.
Default is |

`nrestarts` |
Number of random re-starts of the VI algorithm.
The restart that gives the highest value of the objective function will
be returned. It is recommended to choose |

`keep_restarts` |
If |

`parallel` |
If |

`log_restarts` |
If |

`log_dir` |
Directory for logging progress of random restarts. Default is the working directory. |

`random_init` |
If |

`allow_continue` |
logical, |

`lcm_tree()`

Other lcm_tree functions:
`lcm_tree()`

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