MCPcopy
hub / github.com/scikit-learn/scikit-learn / decision_function

Method decision_function

sklearn/multiclass.py:154–166  ·  view source on GitHub ↗
(self, X)

Source from the content-addressed store, hash-verified

152 return np.repeat(self.y_, _num_samples(X))
153
154 def decision_function(self, X):
155 check_is_fitted(self)
156 validate_data(
157 self,
158 X,
159 ensure_all_finite=False,
160 dtype=None,
161 accept_sparse=True,
162 ensure_2d=False,
163 reset=False,
164 )
165
166 return np.repeat(self.y_, _num_samples(X))
167
168 def predict_proba(self, X):
169 check_is_fitted(self)

Callers 2

_predict_binaryFunction · 0.45
decision_functionMethod · 0.45

Calls 3

check_is_fittedFunction · 0.90
validate_dataFunction · 0.90
_num_samplesFunction · 0.90

Tested by

no test coverage detected