AI & Machine Learning
PyBroker Model Trainer
Register, train, wire, and debug machine learning models for PyBroker backtests using the bundled PyBroker wiki references generated from the local docs. Use when an agent needs to register a model with pybroker.model, write train_fn/predict_fn code for scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch, Keras, statsmodels (ARIMA/SARIMAX), or arch models, build ensembles or regime models, run walkforward analysis, build time-series or lagged-feature models, train pooled multi-symbol models, load pretrained models, cache data and trained models, or prevent lookahead leakage in model-driven backtests.
- Publisher / source
- edtechre/pybroker (found on GitHub top repositories)
- Upstream record
- edtechre/pybroker
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
cdad728f2627f33902b164e331d9a7f48abd9e533f3b656c77678d4275768030