numerai-model-implementation

What problem does it solve?

Add a new Numerai model type to the agents training pipeline, enabling teams to register and deploy custom models within the Numerai workflow.

Core Features & Use Cases

• Define the model API with fit(X, y) and predict(X) and wrappers that isolate model-specific code.
• Register the model constructor in agents/code/modeling/utils/model_factory.py with lazy imports and clear ImportError messaging.
• Update configurations so the new model runs via the training pipeline and can be tested with smoke tests.

Quick Start

Define a new model type, implement the wrapper, register it in the factory, and run a smoke test to validate training and evaluation.