ChemML

ChemML Library

  • Introduction to ChemML Library
  • Input
  • Represent
  • Prepare
  • Model
  • Optimize
  • Visualize
  • AutoML
  • Explain
    • Generating Deep Neural Network Model Explanations via ChemML’s Explain Module

ChemML Wrapper

  • Introduction to ChemML Wrapper
  • ChemML Wrapper Tutorial

Published Models

  • Published

ChemML API

  • ChemML API
ChemML
  • Explain
  • View page source

Explain

Using Explain on ChemML models

  • Generating Deep Neural Network Model Explanations via ChemML’s Explain Module
    • The chemml.explain module has three eXplainable AI (XAI) methods - DeepSHAP, LRP, and LIME. It allows both local (for a single instance) and global (aggregated for multiple instances) explanations. The explainations are in the form of a relevance score attributed to each feature used to build the DNN model.
    • DeepSHAP Explanations
    • Visualizing local DeepSHAP explanations using a waterfall plot adapted from the shap library.
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© Copyright 2014-2022 Johannes Hachmann, Mojtaba Haghighatlari, Aditya Sonpal, Gaurav Vishwakarma and Aatish Pradhan.

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