jpt.inference.likelihood

Attributes

_locals
logger

Functions

_terminate_worker()
_initialize_worker(shm_name, single_likelihoods)
single_likelihood(→ int)
parallel_likelihood(→ numpy.ndarray)

Module Contents

jpt.inference.likelihood._locals

jpt.inference.likelihood.logger

jpt.inference.likelihood._terminate_worker()

jpt.inference.likelihood._initialize_worker(shm_name, single_likelihoods)

jpt.inference.likelihood.single_likelihood(args: Tuple[int, bool]) → int

jpt.inference.likelihood.parallel_likelihood(jpt: jpt.trees.JPT, data: pandas.DataFrame, dirac_scaling: float = 2.0, min_distances: Dict = None, multicore: int | None = None, verbose: bool = False, single_likelihoods: bool = False, variables: Iterable[jpt.variables.Variable] = None) → numpy.ndarray