Using XGBoost to predict the number of passengers in each train at a given point in time. One of the most important parts of our architecture is measuring the training-serving skew from the multiple different models in production.
- Getting something into production is more important than fine-tuning the model
- A big regression model can combine multiple classical approaches in a easily managed way
- Having the right tools (databases and processing environments in cloud) make the way much easier