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)还是尚未实现?
答案 0 :(得分:0)
基于文档:https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html:
属性:n_bins_:整数数组,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.```