AI dictionary · MLOps and deployment
What is Data drift?Data drift kya hai?
Also called: Covariate shift
Data drift: When the data a live model receives starts to look different from its training data.Jab live model ko milne wala data uske training data se alag dikhne lage.
🧸 Think of it likeAise samjho
Like a weather app trained on Delhi now being used in Chennai: the inputs look different from what it learned on.Jaise Delhi pe trained weather app ab Chennai mein use ho: inputs us data se alag dikhte hain jis par usne seekha.
📘 ExplainedVistaar se
New customer segments, new devices, a changed form or a broken upstream system can all shift input distributions. Monitor feature and prediction distributions against a baseline (for example with PSI), alert on big shifts, and investigate: sometimes it's a bug, sometimes the world changed and you need to retrain.Naye customer segments, naye devices, badla hua form ya toota upstream system, sab input distributions khiska sakte hain. Feature aur prediction distributions ko baseline se monitor karo (jaise PSI se), bade badlaav pe alert, aur jaanch karo: kabhi bug hota hai, kabhi duniya badal gayi hai aur retrain chahiye.
💡 Real exampleAsli example
After launching in a new city, average delivery distances double and the delivery time model drifts.Naye shehar mein launch ke baad average delivery distance double hoti hai aur delivery time model drift karta hai.
📖 Learn it step by stepStep by step seekho
🔗 Related termsJude hue shabd
Questions people ask
What is Data drift?
When the data a live model receives starts to look different from its training data. New customer segments, new devices, a changed form or a broken upstream system can all shift input distributions. Monitor feature and prediction distributions against a baseline (for example with PSI), alert on big shifts, and investigate: sometimes it's a bug, sometimes the world changed and you need to retrain.
How can I understand Data drift in simple words?
Like a weather app trained on Delhi now being used in Chennai: the inputs look different from what it learned on.
What is an example of Data drift?
After launching in a new city, average delivery distances double and the delivery time model drifts.
Data drift ka matlab kya hai?
Jab live model ko milne wala data uske training data se alag dikhne lage. Jaise Delhi pe trained weather app ab Chennai mein use ho: inputs us data se alag dikhte hain jis par usne seekha.
See Data drift in the full A to Z dictionary · Start a free AI course