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Update documentation to use 'log-likelihood' #247

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Update documentation to use 'log-likelihood' #247

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6 changes: 3 additions & 3 deletions causallearn/score/LocalScoreFunction.py
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Original file line number Diff line number Diff line change
Expand Up @@ -682,7 +682,7 @@ def local_score_marginal_general(
Data: ndarray, Xi: int, PAi: List[int], parameters=None
) -> float:
"""
Calculate the local score by negative marginal likelihood
Calculate the local score by negative marginal log-likelihood
based on a regression model in RKHS

Parameters
Expand Down Expand Up @@ -784,7 +784,7 @@ def local_score_marginal_multi(
Data: ndarray, Xi: int, PAi: List[int], parameters: Dict[str, Any]
) -> float:
"""
Calculate the local score by negative marginal likelihood
Calculate the local score by negative marginal log-likelihood
based on a regression model in RKHS
for variables with multi-variate dimensions

Expand Down Expand Up @@ -887,4 +887,4 @@ def local_score_marginal_multi(
nargout=2,
)
score = nlml # negative log-likelihood
return score
return score