crflynn / skrangerLinks
scikit-learn compatible Python bindings for ranger C++ random forest library
☆53Updated 2 years ago
Alternatives and similar repositories for skranger
Users that are interested in skranger are comparing it to the libraries listed below
Sorting:
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Updated 5 years ago
- Version, share, deploy, and monitor models.☆68Updated 3 months ago
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆88Updated 11 months ago
- code and demo for hierarchical stacking paper☆10Updated 4 years ago
- Random Forests for Conditional Density Estimation☆42Updated 4 years ago
- R Functions implementing UCR Matrix Profile Algorithm☆74Updated 2 years ago
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- Explaining the output of machine learning models with more accurately estimated Shapley values☆162Updated last week
- Distributional Random Forests (Cevid et al., 2020)☆43Updated 2 years ago
- Rlgt is an R package for Bayesian Exponential Smoothing☆22Updated 2 months ago
- Hierarchical and Grouped Time Series☆110Updated 6 months ago
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 5 years ago
- Adaptive and automatic gradient boosting computations.☆69Updated 2 years ago
- Nested cross-validation for accurate confidence intervals for prediction error.☆41Updated 3 years ago
- ☆72Updated last month
- Fast approximate Shapley values in R☆124Updated last month
- Trees are all you need☆113Updated last year
- Parallelizable Bayesian Optimization in R☆112Updated 2 years ago
- energy package for R☆47Updated 10 months ago
- The Tidymodels Extension for Time Series Boosting Models☆57Updated 2 years ago
- A C++ library for vine copula models (w/ interfaces to R + Python)☆35Updated last month
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- R package to compute distribution-free prediction bands using density estimators☆9Updated 3 years ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆30Updated last year
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆84Updated last year
- An R-Java Bayesian Additive Regression Trees implementation☆62Updated last year
- Gaussian Process Model Building Interface☆51Updated 4 months ago
- mlmachine accelerates machine learning experimentation☆29Updated 3 years ago
- scoring rules to evaluate probabilistic forecasts☆62Updated 10 months ago
- An R package to assess feature importance☆33Updated 4 years ago