jpt.inference.likelihood
========================

.. py:module:: jpt.inference.likelihood


Attributes
----------

.. autoapisummary::

   jpt.inference.likelihood._locals
   jpt.inference.likelihood.logger


Functions
---------

.. autoapisummary::

   jpt.inference.likelihood._terminate_worker
   jpt.inference.likelihood._initialize_worker
   jpt.inference.likelihood.single_likelihood
   jpt.inference.likelihood.parallel_likelihood


Module Contents
---------------

.. py:data:: _locals

.. py:data:: logger

.. py:function:: _terminate_worker()

.. py:function:: _initialize_worker(shm_name, single_likelihoods)

.. py:function:: single_likelihood(args: Tuple[int, bool]) -> int

.. py:function:: parallel_likelihood(jpt: jpt.trees.JPT, data: pandas.DataFrame, dirac_scaling: float = 2.0, min_distances: Dict = None, multicore: Optional[int] = None, verbose: bool = False, single_likelihoods: bool = False, variables: Iterable[jpt.variables.Variable] = None) -> numpy.ndarray