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 a 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 |