wakame1367 / OptCAT
OptCAT (= Optuna + CatBoost)
☆9Updated 4 years ago
Related projects: ⓘ
- ☆12Updated 3 years ago
- Using probabilistic programming to infer player ratings from matchup data.☆13Updated 3 years ago
- Nested Cross-Validation for Bayesian Optimized Gradient Boosting☆17Updated 4 years ago
- Optuna + LightGBM = OptGBM☆34Updated 2 years ago
- ☆10Updated 4 years ago
- Multi-target Random Forest implementation that can mix both classification and regression tasks☆24Updated 4 years ago
- using probabilistic programming to build win probability model for NCAAM basketball☆16Updated 3 years ago
- Gradient boosting on steroids☆26Updated 3 months ago
- Inference of relative ability from winning probabilities☆42Updated 6 months ago
- Code examples for using the pbpstats.com API☆11Updated 2 years ago
- Feature selection package based on SHAP and target permutation, for pandas and Spark☆30Updated 2 years ago
- NBA stats and analysis☆11Updated last year
- Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC☆26Updated 2 years ago
- Hyperparameters Spaces for Optimization☆22Updated 5 years ago
- Surrogate Assisted Feature Extraction☆35Updated 3 years ago
- Probabilistic prediction with XGBoost.☆99Updated 2 months ago
- mlmachine accelerates machine learning experimentation☆30Updated 2 years ago
- Random stuff I've been working on☆28Updated 8 months ago
- Helpers for scikit learn☆16Updated last year
- Python package for Feature-based Forecast Model Averaging (FFORMA).☆10Updated last year
- Time Series Forecasting with LightGBM☆78Updated 2 years ago
- Time Series Forecasting Framework☆41Updated last year
- A collection of python notebooks exploring popular methods for rating sports teams (and other things)☆10Updated 7 years ago
- A package to parse NBA play by play pandas dataframes and calculate statistics☆15Updated last year
- Example usage of scikit-hts☆54Updated 2 years ago
- An extension of CatBoost to probabilistic modelling☆141Updated 10 months ago
- A python package for hierarchical forecasting, inspired by hts package in R.☆28Updated 7 months ago
- Extends scikit-learn with new models, transformers, metrics, plotting.☆69Updated last week
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆60Updated 2 years ago
- CBM Encoding☆19Updated 3 years ago