EXPLORE THE MODEL ASSOCIATED WITH THE PAPER:

PREVIEW

Have a look at the Jupyter Notebook (.ipynb)

INSTRUCTIONS

If you want to fully explore the model in the associated paper, you need to open and run the Jupyter Notebook in this repository. Have a look at the pdf and html files to have an idea of the expected output.

1. Clone the present repository in a folder of your choice

    git clone https://github.com/grassoste/SP-secretion-efficiency-Jupyter-notebook.git
   

2. Create a suitable environemnt (Python > 3.6) and install relevant packages. If you prefer you can use your local installation of Python. In such case install the same packages but use 'pip' (i.e. pip install)

    conda create -n SP-notebook python=3.6
    conda activate SP-notebook
    cd ‘directory-of-notebook’
    conda install jupyter
    conda install pandas
    conda install matplotlib
    conda install joblib
    conda install -c conda-forge shap
    jupyter notebook 
   

3. Navigate to the Jupyter notebook and run it. Feel free to play around. We suggest to refer to the docs of SHAP for a better understanding: https://shap.readthedocs.io/en/latest/

Feel free to contact us if you run into issues: s [dot] grasso [at] umcg [dot] nl