sklearn.exceptions
.NotFittedError¶
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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.
Examples
>>> 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.
Methods
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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