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