Cost sensitive analysis in scikit-learn

Question

Is there a scikit-learn method/class analogous to the MetaCost algorithm implemented in Weka or other utilities to perform const sensitive analysis ?

Answer 1

No, there isn't. Some classifiers offer class_weight and sample_weight parameters, but those are just optimized implementations over oversampling and undersampling, not MetaCost.