Data and ML Monitoring is Easier with whylogs v1.1

whylogs v1.1 is an open-source data logging API that simplifies monitoring of data and ML models. It allows users to create statistical profiles of datasets, monitor for data quality, data drift, model drift, and more in Python or Java environments. The latest version includes new features such as segments, image data logging, log rotation, conditional count metrics, string tracking, and model performance monitoring. These enhancements enable users to gain visibility within subgroups of data, monitor computer vision models, handle continuous data streams, detect specific values in datasets, track string data for NLP, and track model performance. whylogs v1.1 also supports integration with the WhyLabs Observatory for a customizable monitoring experience.