Cost analysis in scikit-learn

Is there a scikit-learn method / class, similar to the MetaCost algorithm implemented by Weka or other utilities, for performing const sensitivity analysis?

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No no. Some classifiers offer class_weight and sample_weight , but these are just optimized implementations over oversampling and undersampling, not MetaCost.

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