This page gathers the Jupyter Notebook, .py script, and .yaml configuration files shown in the previous sections. Just hover over the desired file and:
Mouse right click > Save Link As...
Notebooks
All the Jupyter notebooks provided below are full compatible with Google Colab, so they can be imported and run therein. If those are run Colab, please make sure B-FADE is install in you working environment. Hence, make a cell with this line:
!pip install b-fade
To enable processing dataset files, these must be uploaded to Google Drive. Therefore the users’ google drive must be mounted in Colab workspace. To do so, make a cell that imports the required package and mounts the remote folder:
from google.colab import drive
drive.mount('/content/drive')
By default, Google Colab notebooks are located in subfolder /content/drive/My Drive/Colab Notebooks/. Assuming the user uploaded their dataset file MyDataset.csv in such folder, B-FADE methods and function can get the dataset at: /content/drive/My Drive/Colab Notebooks/MyDataset.csv.
Before running Parametrised El Haddad, please run Fictitious El Haddad Datasets to generate the dataset for test purpose. If notebooks are run in Google Colab upload the dataset files to Google Drive and access them as indicate above (as you would do with real datasets).
Available notebooks: