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A reusable process for the iterative refinement and explanation of classification models.

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IREX

A Reusable process for the Iterative Refinement and EXplanation of classification models.

Installation of necessary modules

Can be installed through the "requirements.txt" file using the command:

pip install -r requirements.txt

This will install the following 13 modules:

  • joblib
  • dice-ml
  • shap
  • lime
  • seaborn
  • pandas
  • matplotlib
  • matplotlib-inline
  • numpy
  • sklearn
  • explainerdashboard
  • imblearn
  • alibi

Repository content

It has the following directories:

  • IREX - Jupyter Notebook: This stores the jupyter notebook.
  • IREX - Script: This stores the script.

Both of them with their respective execution instructions.

Local execution

It's recommended to run the script in either Spyder or Pychar.

Virtual execution

You can also run IREX virtually using Google Colab.

At the following link, you will be redirected to a ready-made Jupyter Notebook for immediate execution.

IREX - Google Colab

Video demo

Here, at the link bellow, you can find a video demo of IREX

IREX - Video demo

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A reusable process for the iterative refinement and explanation of classification models.

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  • Jupyter Notebook 99.9%
  • Python 0.1%