DOC Update default values CalibratedClassifierCV docstring
@@ -56,14 +56,15 @@ class CalibratedClassifierCV(BaseEstimator, ClassifierMixin,
The classifier whose output need to be calibrated to provide more
accurate `predict_proba` outputs.
- method : 'sigmoid' or 'isotonic'
+ method : {'sigmoid', 'isotonic'}, default='sigmoid'
The method to use for calibration. Can be 'sigmoid' which
corresponds to Platt's method (i.e. a logistic regression model) or
'isotonic' which is a non-parametric approach. It is not advised to
use isotonic calibration with too few calibration samples
``(<<1000)`` since it tends to overfit.
- cv : integer, cross-validation generator, iterable or "prefit", optional
+ cv : integer, cross-validation generator, iterable or "prefit", \
+ default=None
Determines the cross-validation splitting strategy.
Possible inputs for cv are:
