numerai-model-implementation

What problem does it solve?

This skill enables data scientists and software engineers to register and integrate a new Numerai model type into the agents training pipeline, ensuring a clean, reusable interface for future models.

Core Features & Use Cases

• Model API & Wrappers: Define a consistent fit(X, y, sample_weight=...) and predict(X), and colocate model-specific logic under isolated wrappers.
• Factory Registration: Update the model_factory to lazily import and construct the new model type, with clear ImportError messages if dependencies are missing.
• Config & Data Integration: Extend configs and data preparation utilities so the new model can be selected in experiments and run via python -m agents.code.modeling.

Quick Start

From the repo root, add your model wrapper, update the factory, and configure a test run with your new model type. Then execute the smoke test to validate integration.