Update docstrings related to prior_prob.

This commit is contained in:
Raphael Mitsch 2023-03-13 17:01:20 +01:00
parent 4a921766f1
commit be858981e6

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@ -60,10 +60,8 @@ cdef class InMemoryCandidate(Candidate):
entity_freq (int): Entity frequency in KB corpus.
entity_vector (List[float]): Entity embedding.
mention_hash (int): Mention hash.
prior_prob (float): Prior probability of entity for this mention - i.e. the probability that, independent of
the context, this mention resolves to this entity in the corpus used to build the knowledge base. In
cases in which this isn't always possible (e.g.: the corpus to analyse contains mentions that the KB corpus
doesn't) it might be better to eschew this information and always supply the same value.
prior_prob (float): Prior probability of entity for this mention. I. e. the probability that, independent of
the context, this mention - which matches one of this entity's aliases - resolves to one this entity.
"""
super().__init__()
@ -84,7 +82,8 @@ cdef class InMemoryCandidate(Candidate):
@property
def prior_prob(self) -> float:
"""RETURNS (float): Prior probability that this mention resolves to this entity."""
"""RETURNS (float): Prior probability that this mention, which matches one of this entity's aliases, resolves to
this entity."""
return self._prior_prob
@property