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chip-network-model's Issues

tick and Joblib dependency on Python 3.8

To use 'tick' and 'Joblib' dependencies, I had to roll back to Python 3.6. Then had to roll back to scikit-learn==0.21.2 for Joblib dependency.

Below are the steps I did in iTerm2 to create a conda enviroment to run all three notebooks in your example folder (I'm running JupyterLab 2.2.6 and Spyder 4.1.5 via Anaconda on Mohave OSX):

Create a new conda environment

conda create --name py362 python=3.6.2
conda activate py362

########################################################################

This section is only if you want to install the variable explorer extension in JupyterLab on Python 3.6.2:

First..Completely install conda nodes.js:

conda install -c conda-forge nodejs
conda install -c conda-forge/label/gcc7 nodejs
conda install -c conda-forge/label/cf201901 nodejs
conda install -c conda-forge/label/cf202003 nodejs

Now install extension:

jupyter labextension install @lckr/jupyterlab_variableinspector

########################################################################

Run the following commands before running CHIP .ipynb examples:

conda install numpy
conda install matplotlib
conda install networkx
conda install joblib
pip install tick
conda install scikit-learn==0.21.2
conda install dill

Good point to backup:

conda create --name py362clone --clone py362

For Spyder

If everything runs good in JupyterLab, now install Spyder 4.1.5

conda install -c anaconda spyder

will need to convert .ipynb to .py for Spyder IDE usage

For plots to show in JupyterLab or Spyder:

Need to put this command in every cell before first plt. command:

%matplotlib inline

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