pjaselin / CubistLinks
A Python package for fitting Quinlan's Cubist regression model
☆58Updated last week
Alternatives and similar repositories for Cubist
Users that are interested in Cubist are comparing it to the libraries listed below
Sorting:
- ☆23Updated 10 months ago
- scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python☆42Updated 3 years ago
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- Probabilistic prediction with XGBoost.☆120Updated 9 months ago
- Bayesian time series forecasting and decision analysis☆120Updated 2 years ago
- A multiverse of Prophet models for timeseries☆71Updated last month
- Distributional Gradient Boosting Machines☆28Updated 3 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 4 years ago
- scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.☆197Updated this week
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆23Updated 3 years ago
- Global, derivative-free optimization for hyperparameter tuning☆44Updated 3 months ago
- Bringing back uncertainty to machine learning.☆55Updated last year
- Quantile Regression Forests compatible with scikit-learn.☆251Updated this week
- scikit-learn compatible Python bindings for ranger C++ random forest library☆55Updated 2 years ago
- An extension of Py-Boost to probabilistic modelling☆24Updated 3 years ago
- Random Forest or XGBoost? It is Time to Explore LCE☆70Updated 2 years ago
- A python package for hierarchical forecasting, inspired by hts package in R.☆29Updated 11 months ago
- Generalized additive models in Python with a Bayesian twist☆78Updated 5 months ago
- tsbootstrap: generate bootstrapped time series samples in Python☆88Updated 6 months ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆33Updated 2 years ago
- Tools for diagnostics and assessment of (machine learning) models☆39Updated 3 weeks ago
- Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC☆26Updated 4 years ago
- Python package for missing-data imputation with deep learning☆156Updated last year
- ALE Plots with python☆67Updated last year
- Feature selection package based on SHAP and target permutation, for pandas and Spark☆31Updated 3 years ago
- Probabilistic Gradient Boosting Machines☆157Updated last year
- ☆17Updated last week
- A sparse matrix implementation of Whittaker-Eilers smoothing and interpolation☆42Updated last week
- An extension of CatBoost to probabilistic modelling☆148Updated 2 years ago
- A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…☆12Updated last year