b78eaa3d258110a02d3c462f29a0e22f5ef56ce9,autosklearn/metalearning/metafeatures/metafeatures.py,ClassProbabilitySTD,_calculate,#ClassProbabilitySTD#Any#Any#Any#,335

Before Change

        occurence_dict = helper_functions.get_value("ClassOccurences")
        occurences = np.array([occurrence for occurrence in occurence_dict.itervalues()],
                             dtype=np.float64)
        return (occurences / y.size).std()

////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// Reif, A Comprehensive Dataset for Evaluating Approaches of various Meta-Learning Tasks
// defines these five metafeatures as simple metafeatures, but they could also

After Change

        if len(y.shape) == 2:
            stds = []
            for i in range(y.shape[1]):
                std = np.array(
                    [occurrence for occurrence in occurence_dict[
                                                      i].itervalues()],
                    dtype=np.float64)
                std = (std / y.shape[0]).std()
                stds.append(std)
            return np.mean(stds)
        else:

Instances