numerai-model-implementation - Add new Numerai model types to training pipeline
Add a new model type to the Numerai agents training pipeline for training and evaluation
Tags
Updated: 2026-02-18Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Register model in model factory
- Handle fit/predict quirks
- Update model configurations
- Implement model API wrapper
- Add extra data columns
- Run smoke tests
Inputs
- Model type definition
- Model parameters
- Training configuration
- Data version
- Feature set
- Target column
- Era column
Outputs
- Registered model in factory
- Updated configuration files
- Model wrapper implementation
- Validation test results
Requirements
- Python environment with agents package
- Model dependencies (e.g., xgboost)
- Numerai data access
- Configuration system access