dowhy
安装
dowhy
pip install dowhy
安装日志
(wind_2021) F:\TensorflowProject\BayesianCausalInference-master> (wind_2021) F:\TensorflowProject\BayesianCausalInference-master>pip install dowhy Collecting dowhy Downloading dowhy-0.7.1-py3-none-any.whl (164 kB) |████████████████████████████████| 164 kB 1.3 MB/s Collecting pydot>=1.4 Downloading pydot-1.4.2-py2.py3-none-any.whl (21 kB) Requirement already satisfied: statsmodels in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from dowhy) (0.13.2) Requirement already satisfied: networkx>=2.0 in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from dowhy) (2.6.3) Requirement already satisfied: pandas>=0.24 in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from dowhy) (1.3.5) Requirement already satisfied: scikit-learn in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from dowhy) (1.0.2) Collecting sympy>=1.4 Downloading sympy-1.10.1-py3-none-any.whl (6.4 MB) |████████████████████████████████| 6.4 MB 6.4 MB/s Requirement already satisfied: numpy>=1.15 in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from dowhy) (1.21.5) Requirement already satisfied: scipy in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from dowhy) (1.7.3) Requirement already satisfied: python-dateutil>=2.7.3 in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from pandas>=0.24->dowhy) (2.8.2) Requirement already satisfied: pytz>=2017.3 in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from pandas>=0.24->dowhy) (2022.1) Requirement already satisfied: pyparsing>=2.1.4 in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from pydot>=1.4->dowhy) (3.0.4) Requirement already satisfied: six>=1.5 in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from python-dateutil>=2.7.3->pandas>=0.24->dowhy) (1.16.0) Collecting mpmath>=0.19 Downloading mpmath-1.2.1-py3-none-any.whl (532 kB) |████████████████████████████████| 532 kB 6.4 MB/s Requirement already satisfied: threadpoolctl>=2.0.0 in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from scikit-learn->dowhy) (2.2.0) Requirement already satisfied: joblib>=0.11 in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from scikit-learn->dowhy) (1.1.0) Requirement already satisfied: packaging>=21.3 in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from statsmodels->dowhy) (21.3) Requirement already satisfied: patsy>=0.5.2 in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from statsmodels->dowhy) (0.5.2) Installing collected packages: mpmath, sympy, pydot, dowhy Successfully installed dowhy-0.7.1 mpmath-1.2.1 pydot-1.4.2 sympy-1.10.1 (wind_2021) F:\TensorflowProject\BayesianCausalInference-master> (wind_2021) F:\TensorflowProject\BayesianCausalInference-master> (wind_2021) F:\TensorflowProject\BayesianCausalInference-master>
安装
xgboost
pip install xgboost -i https://pypi.tuna.tsinghua.edu.cn/simple
安装日志
(wind_2021) F:\PythonProject\zzt>pip install xgboost -i https://pypi.tuna.tsinghua.edu.cn/simple Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting xgboost Downloading https://pypi.tuna.tsinghua.edu.cn/packages/97/ef/05245964011e4fc5aa0d86e2285a41de122ee1c30d69df05ecfd594bd608/xgboost-1.5.2-py3-none-win_amd64.whl (106.6 MB) |████████████████████████████████| 106.6 MB 27 kB/s Requirement already satisfied: scipy in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from xgboost) (1.7.3) Requirement already satisfied: numpy in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from xgboost) (1.21.5) Installing collected packages: xgboost Successfully installed xgboost-1.5.2 (wind_2021) F:\PythonProject\zzt>
安装
iPython
pip install ipython
安装日志
(wind_2021) F:\PythonProject\zzt>pip install ipython Collecting ipython Downloading ipython-7.32.0-py3-none-any.whl (793 kB) |████████████████████████████████| 793 kB 1.3 MB/s Requirement already satisfied: colorama in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from ipython) (0.4.4) Collecting pygments Downloading Pygments-2.11.2-py3-none-any.whl (1.1 MB) |████████████████████████████████| 1.1 MB 6.8 MB/s Collecting pickleshare Using cached pickleshare-0.7.5-py2.py3-none-any.whl (6.9 kB) Collecting decorator Downloading decorator-5.1.1-py3-none-any.whl (9.1 kB) Collecting jedi>=0.16 Downloading jedi-0.18.1-py2.py3-none-any.whl (1.6 MB) |████████████████████████████████| 1.6 MB 6.4 MB/s Collecting traitlets>=4.2 Downloading traitlets-5.1.1-py3-none-any.whl (102 kB) |████████████████████████████████| 102 kB 3.2 MB/s Collecting backcall Using cached backcall-0.2.0-py2.py3-none-any.whl (11 kB) Collecting matplotlib-inline Downloading matplotlib_inline-0.1.3-py3-none-any.whl (8.2 kB) Collecting prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 Downloading prompt_toolkit-3.0.29-py3-none-any.whl (381 kB) |████████████████████████████████| 381 kB 6.8 MB/s Requirement already satisfied: setuptools>=18.5 in l:\anaconda_2021\install\envs\wind_2021\lib\site-packages (from ipython) (58.0.4) Collecting parso<0.9.0,>=0.8.0 Downloading parso-0.8.3-py2.py3-none-any.whl (100 kB) |████████████████████████████████| 100 kB 2.9 MB/s Collecting wcwidth Using cached wcwidth-0.2.5-py2.py3-none-any.whl (30 kB) Installing collected packages: wcwidth, traitlets, parso, pygments, prompt-toolkit, pickleshare, matplotlib-inline, jedi, decorator, backcall, ipython Successfully installed backcall-0.2.0 decorator-5.1.1 ipython-7.32.0 jedi-0.18.1 matplotlib-inline-0.1.3 parso-0.8.3 pickleshare-0.7.5 prompt-toolkit-3.0.29 pygments-2.11.2 traitlets-5.1.1 wcwidth-0.2.5 (wind_2021) F:\PythonProject\zzt> (wind_2021) F:\PythonProject\zzt>
安装
PyGraphviz 1.5
(wind_2021) F:\PythonProject\zzt> pip install .\pygraphviz-1.5-cp37-cp37m-win_amd64.whl Processing f:\pythonproject\zzt\pygraphviz-1.5-cp37-cp37m-win_amd64.whl Installing collected packages: pygraphviz Successfully installed pygraphviz-1.5 (wind_2021) F:\PythonProject\zzt> (wind_2021) F:\PythonProject\zzt>
https://github.com/CristiFati/Prebuilt-Binaries
https://github.com/CristiFati/Prebuilt-Binaries/tree/master/PyGraphviz/v1.5
https://microsoft.github.io/dowhy/readme.html
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