OmniXAI: A Library for Explainable AI

Machine Learning models are frequently seen as black boxes that are impossible to decipher. Because the learner is trained to respond to "yes" and "no" type questions without explaining how the answer was obtained. An explanation of how an answer was achieved is critical in many applications for assuring confidence and openness. Explainable AI refers to strategies and procedures in the use of artificial intelligence technology (AI) that allow human specialists to understand the solution's findings. This article will focus on explaining the machine learner using OmniXAI.