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.
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