Synthetic Data from Erdös-Rényi Graphs
收藏arXiv2025-09-30 收录
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https://causally.readthedocs.io/en/latest/
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资源简介：
该数据集是由埃尔德什-雷尼模型生成的合成数据，包含了稀疏和密集图，且具有已知的真实情况。数据按照线性与非线性机制进行采样，并添加了附加噪声，同时通过从数据矩阵中删除列来引入隐藏的因果效应。该数据集规模包含1000个观察值，任务旨在进行因果发现。
This dataset consists of synthetic data generated by the Erdős–Rényi model, including both sparse and dense graphs with known ground truths. The data is sampled via both linear and nonlinear mechanisms, with additive noise added. Additionally, hidden causal effects are introduced by deleting columns from the data matrix. This dataset contains 1000 observations, and its targeted task is causal discovery.
提供机构：
Causally Python library
