DOC Remove  attribute from DummyClassifier and DummyRegressor, as they are not implemented
@@ -71,13 +71,9 @@ class DummyClassifier(BaseEstimator, ClassifierMixin):
n_outputs_ : int,
Number of outputs.
- outputs_2d_ : bool,
- True if the output at fit is 2d, else false.
-
sparse_output_ : bool,
True if the array returned from predict is to be in sparse CSC format.
Is automatically set to True if the input y is passed in sparse format.
-
"""
def __init__(self, strategy="stratified", random_state=None,
@@ -390,9 +386,6 @@ class DummyRegressor(BaseEstimator, RegressorMixin):
n_outputs_ : int,
Number of outputs.
-
- outputs_2d_ : bool,
- True if the output at fit is 2d, else false.
"""
def __init__(self, strategy="mean", constant=None, quantile=None):
