Drift Detection Using TorchDrift for Tabular and Time-series Data – Towards AI

Originally published on Towards AI. Machine learning models are designed to make predictions based on data. However, the data in the real world is constantly changing, and this can affect the accuracy of the model. This is known as data drift, and it can lead to incorrect predictions and poor performance. In this blog post, we will discuss how to detect data drift using the Python library TorchDrift.