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fix docstring mismatches #492

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merged 1 commit into from
Jan 22, 2024
Merged

fix docstring mismatches #492

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fix docstring mismatches
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@MatthewCaseres
MatthewCaseres committed Jan 21, 2024
commit da0b3491f6bb59bf15b4156d4b7d4c8a59cab0e8
4 changes: 2 additions & 2 deletions chainladder/methods/chainladder.py
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Expand Up @@ -49,7 +49,7 @@ def fit(self, X, y=None, sample_weight=None):
return self

def predict(self, X, sample_weight=None):
"""Predicts the Benktander ultimate on a new triangle **X**
"""Predicts the chainladder ultimate on a new triangle **X**

Parameters
----------
Expand All @@ -61,7 +61,7 @@ def predict(self, X, sample_weight=None):
Returns
-------
X_new: Triangle
Loss data with Benktander ultimate applied
Loss data with chainladder ultimate applied
"""
X_new = super().predict(X, sample_weight)
X_new.ultimate_ = self._get_ultimate(X_new, sample_weight)
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4 changes: 2 additions & 2 deletions chainladder/methods/expectedloss.py
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Expand Up @@ -39,7 +39,7 @@ def __init__(self, apriori=1.0, apriori_sigma=0.0, random_state=None):
self.random_state = random_state

def fit(self, X, y=None, sample_weight=None):
"""Applies the Bornhuetter-Ferguson technique to triangle **X**
"""Applies the Benktander technique to triangle **X**

Parameters
----------
Expand All @@ -60,7 +60,7 @@ def fit(self, X, y=None, sample_weight=None):
return self

def predict(self, X, sample_weight=None):
"""Predicts the Bornhuetter-Ferguson ultimate on a new triangle **X**
"""Predicts the Benktander ultimate on a new triangle **X**

Parameters
----------
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