41 lines
1.6 KiB
Python
41 lines
1.6 KiB
Python
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def _check_classifer_response_method(estimator, response_method):
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"""Return prediction method from the response_method
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Parameters
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----------
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estimator: object
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Classifier to check
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response_method: {'auto', 'predict_proba', 'decision_function'}
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Specifies whether to use :term:`predict_proba` or
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:term:`decision_function` as the target response. If set to 'auto',
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:term:`predict_proba` is tried first and if it does not exist
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:term:`decision_function` is tried next.
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Returns
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-------
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prediction_method: callable
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prediction method of estimator
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"""
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if response_method not in ("predict_proba", "decision_function", "auto"):
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raise ValueError("response_method must be 'predict_proba', "
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"'decision_function' or 'auto'")
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error_msg = "response method {} is not defined in {}"
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if response_method != "auto":
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prediction_method = getattr(estimator, response_method, None)
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if prediction_method is None:
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raise ValueError(error_msg.format(response_method,
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estimator.__class__.__name__))
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else:
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predict_proba = getattr(estimator, 'predict_proba', None)
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decision_function = getattr(estimator, 'decision_function', None)
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prediction_method = predict_proba or decision_function
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if prediction_method is None:
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raise ValueError(error_msg.format(
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"decision_function or predict_proba",
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estimator.__class__.__name__))
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return prediction_method
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