. At this exact point, your "CI/CD node" would trigger and safely reroute the data to your backup sorting sub-schema! Software Engineer Plays: while True: learn() Ep 11
🛠️ Feature Title: "CatHub CI/CD Pipeline" (Continuous Integration / Continuous Descratchification) 🐾 Concept Overview while True: learn()
: A small gauge at the top of the screen during "live" startup runs. It indicates how much the incoming shapes (circles, squares, triangles) are deviating from your trained model . It indicates how much the incoming shapes (circles,
), the node triggers a "Rollback" or a "Hotfix Branch" deployment to swap the processing visual node automatically. The error for a packet is calculated as
Let's assume the CI/CD node is tracking the of the active model over a rolling window of data packets. The error for a packet is calculated as the distance from the expected threshold. The mathematical formula for the rolling MAE at packet