ExplainableAI

Introduction

explainerdashboard is a library for quickly building interactive dashboards for analyzing and explaining the predictions and workings of (scikit-learn compatible) machine learning models, including xgboost, catboost and lightgbm. This makes your model transparant and explainable with just two lines of code.

Installation

You can install the package through pip:

pip install explainerdashboard

Command line tool

• 1st Argument is Test data (X_test,y_test)
• 2nd Argument is Model

python main.py "testdata_dict.pickle" "classifier_model.pickle"

You will get interactive dashboard on below link:

Running on http://10.70.70.77:8050/

For Reference:

1. https://github.com/oegedijk/explainerdashboard