exceptions.NotFittedError

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.

Links:

http://scikit-learn.org/stable/modules/generated/sklearn.exceptions.NotFittedError.html

doc_scikit_learn

2025-01-10 15:47:30

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