"""
The :mod:`pmlearn.exceptions` module includes all custom warnings and error
classes used across pymc-learn.
"""
__all__ = ['NotFittedError']
[docs]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 pmlearn.gaussian_process import GaussianProcessRegressor
>>> from pmlearn.exceptions import NotFittedError
>>> try:
... GaussianProcessRegressor().predict([[1, 2], [2, 3], [3, 4]])
... except NotFittedError as e:
... print(repr(e))
... # doctest: +NORMALIZE_WHITESPACE +ELLIPSIS
NotFittedError('This GaussianProcessRegressor instance is not fitted yet'.)
"""