Using legacy 'setup.py install' for wrapt, since package 'wheel' is not installed. Using legacy 'setup.py install' for termcolor, since package 'wheel' is not installed. Using legacy 'setup.py install' for clang, since package 'wheel' is not installed. Requirement already satisfied: setuptools>=41.0.0 in c:\users\v1\appdata\local\programs\python\python39\lib\site-packages (from tensorboard~=2.6->tensorflow) (56.0.0)ĭownloading tensorboard_data_server-0.6.1-p圓-none-any.whl (2.4 kB)ĭownloading tensorboard_plugin_wit-1.8.0-p圓-none-any.whl (781 kB) WARNING: Ignoring invalid distribution -pencv-python (c:\users\v1\appdata\local\programs\python\python39\lib\site-packages)ĭownloading tensorflow-2.6.0-cp39-cp39-win_amd64.whl (423.3 MB) All rights reserved.Ĭ:\Users\v1>pip3 install -user -upgrade tensorflow Python Get Version() = Īnd these match the versions I have installed in Anaconda in the python 3.8.11 environment. The above produces the following output in my embedded log: Print("SciPy Version: ", scipy._version_) "C:\\ProgramData\\Anaconda3\\envs\\JMP ML", "C:\\ProgramData\\Anaconda3\\envs\\JMP ML\\libs", "C:\\ProgramData\\Anaconda3\\envs\\JMP ML\\lib", "C:\\ProgramData\\Anaconda3\\envs\\JMP ML\\DLLs", Path( "C:\ProgramData\Anaconda3\envs\JMP ML\python38.dll" ), I have been unsuccessful in importing Tensorflow. I've been successful integrating JMP and the Anaconda environment and was able to verify operation of some typical machine learning packages installed in that environment. I'm working to integrate an Anaconda environment of Python 3.8.11 with JMP to leverage Tensorflow with JMP.
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