python-3.x - Sklearn Binning Process - 可以返回一个间隔吗？

Question

我正在尝试使用KBinsDiscretizerfrom sklearn.preprocessing，但它返回整数值 1,2,..,N （表示间隔）。是否可以将正确的间隔返回为(0.2, 0.5)或者尚未实现？

Answer 1

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，这将意味着否。还有一个提示：

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.```