CausalDiscoveryToolbox:用于在图形和成对设置中进行因果推断的程序包。 包括用于图形结构恢复和依赖性的工具

上传者: 42128537 | 上传时间: 2023-07-03 23:15:41 | 文件大小: 13.64MB | 文件类型: ZIP
因果发现工具箱是一个用于在图形中以及在Python> = 3.5的成对设置中进行因果推断的程序包。 包括用于图形结构恢复和依赖性的工具。 该软件包基于Numpy,Scikit-learn,Pytorch和R。 它主要基于观察数据,实现了许多用于图结构恢复的算法(包括来自bnlearn , pcalg包的算法)。 使用pip安装它:(请参阅下面的安装详细信息) pip install cdt Docker镜像 Docker映像可用,包括所有依赖项和启用的功能: 科 主 开发者 Python 3.6-CPU Python 3.6-GPU 安装 这些软件包需要python版本> = 3.5,以及一些在列出的库。 对于某些其他功能,需要更多的库才能使这些附加功能和选项可用。 这是该软件包的快速安装指南,从最小安装到完整安装开始。 注意:(mini / ana)conda框架将帮助安装所有这些软件包,因此建议非专业用户使用。 安装PyTorch 由于cdt软件包中的某些关键算法使用PyTorch软件包,因此需要安装它。 请访问他们的网站以安装适合您的硬件配置的PyTorch版本:

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