What is Training serving skew?Training serving skew kya hai?

🧸 Think of it likeAise samjho

Like practising cricket with a tennis ball and then playing the match with a leather ball.Tennis ball se cricket practice karna aur phir match leather ball se khelna.

📘 ExplainedVistaar se

For example, a 30 day average in training versus a 7 day average in the live service. Prevent it with one shared feature pipeline or a feature store, logging live features and comparing them with training data.Jaise training mein 30 din ka average aur live service mein 7 din ka. Ek shared feature pipeline ya feature store, live features log karke training data se compare karne se ise roko.

💡 Real exampleAsli example

A model trained on prices in rupees served with prices in paise.Rupees mein prices pe train hua model jise paise mein prices di jaayein.

📖 Learn it step by stepStep by step seekho

• Training vs inference: how ML runs in productionTraining vs inference: ML production mein kaise chalta hai

🔗 Related termsJude hue shabd

• Feature storeA shared system that stores ready-made features for both training and live predictions.Shared system jo training aur live predictions dono ke liye taiyaar features rakhta hai.
• Feature engineeringTurning raw data into useful model inputs, often using domain knowledge.Raw data ko model ke kaam ke inputs mein badalna, aksar domain knowledge se.