Class NotFittedError

sklearn/exceptions.py:46–65

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 N

class NotFittedError(ValueError, AttributeError):
    """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."...)

    .. versionchanged:: 0.18
       Moved from sklearn.utils.validation.
    """


class ConvergenceWarning(UserWarning):