1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
|
def _check_classifer_response_method(estimator, response_method):
"""Return prediction method from the response_method
Parameters
----------
estimator: object
Classifier to check
response_method: {'auto', 'predict_proba', 'decision_function'}
Specifies whether to use :term:`predict_proba` or
:term:`decision_function` as the target response. If set to 'auto',
:term:`predict_proba` is tried first and if it does not exist
:term:`decision_function` is tried next.
Returns
-------
prediction_method: callable
prediction method of estimator
"""
if response_method not in ("predict_proba", "decision_function", "auto"):
raise ValueError("response_method must be 'predict_proba', "
"'decision_function' or 'auto'")
error_msg = "response method {} is not defined in {}"
if response_method != "auto":
prediction_method = getattr(estimator, response_method, None)
if prediction_method is None:
raise ValueError(error_msg.format(response_method,
estimator.__class__.__name__))
else:
predict_proba = getattr(estimator, 'predict_proba', None)
decision_function = getattr(estimator, 'decision_function', None)
prediction_method = predict_proba or decision_function
if prediction_method is None:
raise ValueError(error_msg.format(
"decision_function or predict_proba",
estimator.__class__.__name__))
return prediction_method
|
