fabianp / mord
Ordinal regression algorithms
☆263Updated last year
Related projects: ⓘ
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 4 years ago
- Ranking and ordinal regression algorithms in Python☆136Updated 3 years ago
- Confidence intervals for scikit-learn forest algorithms☆282Updated 2 months ago
- Python implementation of the rulefit algorithm☆406Updated 11 months ago
- scikit-learn compatible projects☆407Updated last year
- scikit-learn compatible implementation of stability selection.☆210Updated last year
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆488Updated 7 years ago
- A python library for Bayesian time series modeling☆475Updated last week
- XGBoost Feature Interactions Reshaped☆423Updated 6 years ago
- A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines☆457Updated last year
- Python package for causal inference using Bayesian structural time-series models.☆232Updated 4 years ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆262Updated last month
- Bayesian Optimization using xgboost and sklearn API☆224Updated 8 years ago
- A garden for scikit-learn compatible trees☆284Updated 2 months ago
- optimization routines for hyperparameter tuning☆414Updated 9 months ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆373Updated 2 years ago
- ☆744Updated last year
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆406Updated last year
- ML-Ensemble – high performance ensemble learning☆843Updated 10 months ago
- machine learning with logical rules in Python☆609Updated 7 months ago
- Mixed Effects Random Forest☆217Updated 3 months ago
- pymc-learn: Practical probabilistic machine learning in Python☆222Updated 3 years ago
- XGBoost Feature Interactions & Importance☆497Updated 6 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆198Updated 7 months ago
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆325Updated 3 years ago
- An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad☆101Updated last year
- A template for scikit-learn extensions☆318Updated 3 months ago
- Multiple correspondence analysis☆178Updated last year
- pandas, scikit-learn, xgboost and seaborn integration☆317Updated 4 years ago
- CostSensitiveClassification Library in Python☆206Updated 4 years ago