LR-based ML Lifecycle Retrospective
Building my first ML Lifecycle — a three-tier architecture for an ad Fallback CTR prediction — as a backend engineer without an AI background. The technical decisions I made, and what I learned through running it.
Logistic-Regression
Choosing a Model Training Framework: sklearn vs ONNX
sklearn and ONNX aren’t competing at the same layer. Once you separate their roles, the real question becomes ‘do I need an ONNX layer at all?’
Revisiting Logistic Regression
The structure and characteristics of Logistic Regression, and why an old model still serves as the baseline in CTR prediction.