numerai
- 7 skills
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- 10 hours ago last updated
- ▌ Add Python Version · numeraiAdd support for a new Python version in numerai-predict by creating py3.x container files, updating Makefile and GitHub workflow matrices, generating lock and requirements files, creating versioned test pickle models, updating README examples, and running version-specific Docker tests. Use when asked to add, upgrade, or onboard a supported Python runtime for Numerai prediction images.
- ▌ Update Dependencies · numeraiUpdate ML dependencies in numerai-predict across one or more py3.x environment directories by editing pyproject.toml, regenerating poetry.lock and requirements.txt, and running the matching build and test targets. Use when asked to bump, pin, loosen, refresh, or troubleshoot dependency versions for Numerai prediction containers.
- ▌ Report Research · numeraiWrite a complete Numerai experiment report in experiment.md (abstract, methods, results tables, decisions, next steps) and generate/link the standard show_experiment plot(s). Use after running any Numerai research experiments, or when a user asks for a “full report”, “write up”, “experiment.md update”, or “generate the standard plot”.
- ▌ Numerai Research · numeraiEnd-to-end Numerai research workflow for trying a new idea: design experiments, implement new model types if needed, run scout→scale experiments, write a full experiment.md report with standard plots, and optionally package/upload a Numerai pickle. Use when a user asks to “try/test a new idea”, “run an experiment”, “sweep configs”, “compare model variants”, or otherwise do new Numerai research.
- ▌ Numerai Model Upload · numeraiCreate Numerai Tournament model upload pickles (.pkl) with a self-contained predict() function. Use when preparing upload artifacts, debugging numerai_predict import errors, or documenting model-upload requirements and testing steps.
- ▌ Numerai Experiment Design · numeraiDesign and manage Numerai experiments in this repo for any model idea.
- ▌ Numerai Model Implementation · numeraiAdd a new Numerai model type to the agents training pipeline. Use when you need to register a model in `agents/code/modeling/utils/model_factory.py`, handle fit/predict quirks in `agents/code/modeling/utils/numerai_cv.py`, and update configs so the model can run via `python -m agents.code.modeling`.