pjaselin / CubistLinks
A Python package for fitting Quinlan's Cubist regression model
☆59Updated last week
Alternatives and similar repositories for Cubist
Users that are interested in Cubist are comparing it to the libraries listed below
Sorting:
- ☆23Updated 11 months ago
- A Python Package for Probabilistic Prediction☆22Updated 4 years ago
- Bayesian time series forecasting and decision analysis☆120Updated 2 years ago
- Probabilistic prediction with XGBoost.☆120Updated 10 months ago
- scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python☆42Updated 3 years ago
- Spatial Interpolation in Python☆13Updated 2 years ago
- A multiverse of Prophet models for timeseries☆72Updated last week
- scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.☆201Updated last week
- Distributional Random Forests (Cevid et al., 2020)☆45Updated 3 weeks ago
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆23Updated 3 years ago
- Tools for diagnostics and assessment of (machine learning) models☆39Updated last month
- ☆17Updated last week
- PyData London 2022 Tutorial☆69Updated 3 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 4 years ago
- Distributional Gradient Boosting Machines☆28Updated 3 years ago
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- ALE Plots with python☆67Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆76Updated last year
- Global, derivative-free optimization for hyperparameter tuning☆44Updated 3 months ago
- Generalized additive model with pairwise interactions☆69Updated last year
- APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals t…☆23Updated last month
- scikit-learn compatible Python bindings for ranger C++ random forest library☆55Updated 2 years ago
- Generalized additive models in Python with a Bayesian twist☆78Updated 5 months ago
- Pydata talk - Football Analytics Using Hierarchical Bayesian Models in PyMC☆25Updated 4 years ago
- A sparse matrix implementation of Whittaker-Eilers smoothing and interpolation☆43Updated last month
- ☆41Updated last year
- Implementation of the Rotation Forest by Rodriques et al. 2006☆28Updated 2 years ago
- Here is a [quantile random forest](http://jmlr.org/papers/v7/meinshausen06a.html) implementation that utilizes the [SciKitLearn](https://…☆18Updated last year
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆65Updated 3 weeks ago
- scoring rules to evaluate probabilistic forecasts☆63Updated 4 months ago