Two Moons Dataset
收藏arXiv2025-09-30 收录
下载链接:
https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html
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资源简介:
该数据集是一个由两个交错半圆组成的综合数据集,常用于分类任务。此外,该数据集还用于训练GFlowNets,并评估联合能量基GFlowNets的性能。其所涉及的任务包括二分类和条件生成。
This dataset is a comprehensive dataset constructed from two interleaving semicircles, which is commonly utilized for classification tasks. Furthermore, it is also employed for training GFlowNets and evaluating the performance of joint energy-based GFlowNets. The tasks involved include binary classification and conditional generation.
搜集汇总
数据集介绍

背景与挑战
背景概述
Two Moons Dataset是一个由两个交错半圆形组成的合成数据集,主要用于二分类和条件生成任务。它常用于训练GFlowNets模型,并作为评估联合能量基GFlowNets性能的标准测试数据集。
以上内容由遇见数据集搜集并总结生成



