sklearn.exceptions#
Custom warnings and errors used across scikit-learn.
Custom warning to capture convergence problems | |
Warning used to notify implicit data conversions happening in the code. | |
Custom warning to notify potential issues with data dimensionality. | |
Warning used to notify the user of inefficient computation. | |
Warning class used if there is an error while fitting the estimator. | |
Warning raised when an estimator is unpickled with an inconsistent version. | |
Exception class to raise if estimator is used before fitting. | |
Warning used when the metric is invalid | |
Warning raised when an estimator check from the common tests fails. |