AI Explainability(XAI) and XAI python methods
In brief Explainable artificial intelligence (XAI) is the process of making the outcome of non-linearly programmed systems more transparent, in an effort to avoid “black-box”
In brief Explainable artificial intelligence (XAI) is the process of making the outcome of non-linearly programmed systems more transparent, in an effort to avoid “black-box”
Parameters main(q, d, m): The primary function that takes in the Question (q), Domain (d), and Medical (m) parameters and returns the Answer (a) and
Implementation A generalized python code to be used for classification tasks. Sklearn, tensorflow and keras are the main libraries used. For inference examples use the