NotFittedError (original) (raw)

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

Changed in version 0.18: Moved from sklearn.utils.validation.