MIssing tensorflow library in conda environment

[mlauber71]

I have no quick solution but there was a lengthy discussion about this.

Problem with setting a Python Deep Learning Environment

A few more general remarks: with Python and KNIME it is all about compatibility and consistency of the packages. That is where Anaconda tries to help you should not update individual packages but let Anaconda manage that concerning Tensorflow and Keras note which versions are supported by the various KNIME nodes (typically that is not the most recent version) these versions must be compatible with your Python version (it might be that it is to large) I am working on a text about KNIME and Pyt…

Installing a new library in Python

You could install additional Python packages via Anacona command “conda install” Like discussed here for deep learning environments. With Python it is all about package dependencies and compatibility which Anaconda is meant to handle. You should use one channel as your priority channel as discussed in the link. To read more about package management you could look here https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-pkgs.html You could also use the more graphical Ana…

You might have to adapt to current versions necessary. Also check the current KNIME guides for python and deep learning integration:

https://docs.knime.com/latest/python_installation_guide/index.html

https://docs.knime.com/latest/deep_learning_installation_guide/index.html