wakame1367 / OptCAT
OptCAT (= Optuna + CatBoost)
☆9Updated 5 years ago
Alternatives and similar repositories for OptCAT
Users that are interested in OptCAT are comparing it to the libraries listed below
Sorting:
- Using probabilistic programming to infer player ratings from matchup data.☆13Updated 4 years ago
- ☆10Updated 5 years ago
- Optuna + LightGBM = OptGBM☆35Updated 2 years ago
- Nested Cross-Validation for Bayesian Optimized Gradient Boosting☆20Updated 5 years ago
- Machine Learning project using 15 seasons of NBA data (2005-2020) to predict player position. Decision Trees, Random Forests, Support Ve…☆9Updated 4 years ago
- ☆12Updated 4 years ago
- Multi-target Random Forest implementation that can mix both classification and regression tasks☆26Updated 5 years ago
- Gradient boosting on steroids☆28Updated 11 months ago
- NBA stats and analysis☆11Updated 2 years ago
- Feature selection package based on SHAP and target permutation, for pandas and Spark☆30Updated 3 years ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- An extension of CatBoost to probabilistic modelling☆142Updated last year
- using probabilistic programming to build win probability model for NCAAM basketball☆17Updated 4 years ago
- Inference of relative ability from winning probabilities☆45Updated 3 months ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- Probabilistic prediction with XGBoost.☆109Updated last month
- Kaggle M5 Forecasting - Uncertainty 4th Place Solution☆32Updated 2 years ago
- mlmachine accelerates machine learning experimentation☆30Updated 3 years ago
- PageRank Applied to Sports Teams☆8Updated 7 years ago
- Time Series Forecasting with LightGBM☆84Updated 2 years ago
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- Example usage of scikit-hts☆57Updated 2 years ago
- Python package for Feature-based Forecast Model Averaging (FFORMA).☆11Updated last year
- A scikit-learn wrapper for HpBandSter hyper parameter search.☆22Updated 2 years ago
- A package to parse NBA play by play pandas dataframes and calculate statistics☆16Updated 2 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated 2 months ago
- A Library for Conformal Hyperparameter Tuning☆30Updated last week
- An extension of Py-Boost to probabilistic modelling☆21Updated 2 years ago
- Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC☆26Updated 3 years ago
- Pre-processing database using pre-written functions☆20Updated 4 years ago