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Fixed the docstring of GAM classes #324

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Fixed the docstring of GAM classes #324

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6a7270a
Fixed the document of GAM classes
utopianf Nov 15, 2022
6ac6625
Merge branch 'master' into patch-1
utopianf Apr 8, 2023
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14 changes: 7 additions & 7 deletions pygam/pygam.py
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Original file line number Diff line number Diff line change
Expand Up @@ -122,7 +122,7 @@ class GAM(Core, MetaTermMixin):
----------
coef_ : array, shape (n_classes, m_features)
Coefficient of the features in the decision function.
If fit_intercept is True, then self.coef_[0] will contain the bias.
If fit_intercept is True, then self.coef_[-1] will contain the bias.

statistics_ : dict
Dictionary containing model statistics like GCV/UBRE scores, AIC/c,
Expand Down Expand Up @@ -2421,7 +2421,7 @@ class LinearGAM(GAM):
----------
coef_ : array, shape (n_classes, m_features)
Coefficient of the features in the decision function.
If fit_intercept is True, then self.coef_[0] will contain the bias.
If fit_intercept is True, then self.coef_[-1] will contain the bias.

statistics_ : dict
Dictionary containing model statistics like GCV/UBRE scores, AIC/c,
Expand Down Expand Up @@ -2558,7 +2558,7 @@ class LogisticGAM(GAM):
----------
coef_ : array, shape (n_classes, m_features)
Coefficient of the features in the decision function.
If fit_intercept is True, then self.coef_[0] will contain the bias.
If fit_intercept is True, then self.coef_[-1] will contain the bias.

statistics_ : dict
Dictionary containing model statistics like GCV/UBRE scores, AIC/c,
Expand Down Expand Up @@ -2737,7 +2737,7 @@ class PoissonGAM(GAM):
----------
coef_ : array, shape (n_classes, m_features)
Coefficient of the features in the decision function.
If fit_intercept is True, then self.coef_[0] will contain the bias.
If fit_intercept is True, then self.coef_[-1] will contain the bias.

statistics_ : dict
Dictionary containing model statistics like GCV/UBRE scores, AIC/c,
Expand Down Expand Up @@ -3113,7 +3113,7 @@ class GammaGAM(GAM):
----------
coef_ : array, shape (n_classes, m_features)
Coefficient of the features in the decision function.
If fit_intercept is True, then self.coef_[0] will contain the bias.
If fit_intercept is True, then self.coef_[-1] will contain the bias.

statistics_ : dict
Dictionary containing model statistics like GCV/UBRE scores, AIC/c,
Expand Down Expand Up @@ -3232,7 +3232,7 @@ class InvGaussGAM(GAM):
----------
coef_ : array, shape (n_classes, m_features)
Coefficient of the features in the decision function.
If fit_intercept is True, then self.coef_[0] will contain the bias.
If fit_intercept is True, then self.coef_[-1] will contain the bias.

statistics_ : dict
Dictionary containing model statistics like GCV/UBRE scores, AIC/c,
Expand Down Expand Up @@ -3341,7 +3341,7 @@ class ExpectileGAM(GAM):
----------
coef_ : array, shape (n_classes, m_features)
Coefficient of the features in the decision function.
If fit_intercept is True, then self.coef_[0] will contain the bias.
If fit_intercept is True, then self.coef_[-1] will contain the bias.

statistics_ : dict
Dictionary containing model statistics like GCV/UBRE scores, AIC/c,
Expand Down