Machine Learning, Artificial Intelligence, Data Science, Heartbeat, Model Interpretability.
output model internals are known as model-specific. Tools that are primarily used to help with interpretation are model-specific, for example, neural networks Model-agnostic interpretability uses tools that are applied after a model has been trained, also known as post hoc. Agnostic methods do not