class sklearn.exceptions.NotFittedError
[source]
Exception class to raise if estimator is used before fitting.
This class inherits from both ValueError and AttributeError to help with exception handling and backward compatibility.
Attributes: |
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>>> from sklearn.svm import LinearSVC >>> from sklearn.exceptions import NotFittedError >>> try: ... LinearSVC().predict([[1, 2], [2, 3], [3, 4]]) ... except NotFittedError as e: ... print(repr(e)) ... NotFittedError('This LinearSVC instance is not fitted yet'...)
Changed in version 0.18: Moved from sklearn.utils.validation.
with_traceback | Exception.with_traceback(tb) – set self.__traceback__ to tb and return self. |
with_traceback()
Exception.with_traceback(tb) – set self.__traceback__ to tb and return self.
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Licensed under the 3-clause BSD License.
http://scikit-learn.org/stable/modules/generated/sklearn.exceptions.NotFittedError.html