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 a 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. |