我正在尝试使用KBinsDiscretizer中的sklearn.preprocessing，但它返回的整数值为1,2，.. N（代表间隔）。是否可以将正确的间隔返回为（0.2，0.5）或尚未实现？
基于文档：https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html：
属性：n_bins_：int数组，形状（n_features，）：
Number of bins per feature. Bins whose width are too small (i.e., <= 1e-8) are removed with a warning. bin_edges_ : array of arrays,形状（n_features，）：
The edges of each bin. Contain arrays of varying shapes (n_bins_, ) Ignored features will have empty arrays.
在您的情况下，这表示不。还有另一个提示：
The inverse_transform function converts the binned data into the original feature space. Each value will be equal to the mean of the two bin edges.```