本文主要是介绍A divide-and-conquer approach to geometric sampling for active learning,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!
https://github.com/XiaofengCao-MachineLearning/Shattering-Distribution-for-Active-Learning
from sklearn import datasets
from scipy.spatial.distance import pdist,squareform
from sklearn.model_selection import StratifiedKFold
fr
这篇关于A divide-and-conquer approach to geometric sampling for active learning的文章就介绍到这儿,希望我们推荐的文章对编程师们有所帮助!