bayesian-event-detector

Lambda cube is a smart tool that helps figure out and guess what will happen next in complicated systems. It shows how events are linked and helps guess future changes. This tool is great for people who need to understand tricky data patterns and guess big changes in different areas.

Benefits
Lambda cube has many good points that make it a strong tool for finding and guessing events. It can automatically study the chance of good and bad jumps, giving more details about how events are connected over time. The tool can also guess if the next big change will be a good jump, bad jump, or stay the same. Lambda cube also has cool pictures that make it easy to understand data. It is also easy to change and update with different ways of studying things.

Use Cases
Lambda cube can be used in many real-life situations. For example, in money matters, it can spot big problems like money crises and small signs that might show changes coming up. In building things, it can find breaks in physical systems. In living things and earth science, it can spot both big and small strange things in data. Users can use simple Python commands to fit the model, find event history, spot cause-and-effect chains, and guess the next event. This makes Lambda cube a useful tool for anyone working with complicated data over time.

Additional Information
Lambda cube is becoming a stereo vision AI, able to see both the big picture and the small details. This two-sided view helps users understand how big changes in the system and small signs are connected. The code is 100% MIT Licensed, so users can try it out and share how they use or change it.