BaseModel — Python App (Docker)
Welcome to the BaseModel Python App documentation. This is the containerised deployment of BaseModel, delivered as a Docker image that runs entirely within your infrastructure.
BaseModel trains a self-supervised foundation model on your behavioral data, then lets you build scenario models on top for predictions, scoring, and recommendations — all in batch mode with no external dependencies.
Sections
| Section | Description |
|---|---|
| Getting Started | Requirements, installation, and your first end-to-end training run |
| Foundation Model | Configure your foundation model, connect and prepare data, and run training |
| Scenarios | Define targets, configure model types, train, evaluate, score, and interpret results |
| Advanced Topics | MLflow monitoring, custom metrics, and Snowflake Container Services |