sklearn.exceptions.NotFittedError

class sklearn.exceptions.NotFittedError

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

args

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. Call 'fit' with
appropriate arguments before using this estimator."...)

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.