Blunde1 / agtboostLinks
Adaptive and automatic gradient boosting computations.
☆70Updated 3 years ago
Alternatives and similar repositories for agtboost
Users that are interested in agtboost are comparing it to the libraries listed below
Sorting:
- Fast approximate Shapley values in R☆125Updated 5 months ago
- An R wrapper of SHAP python library☆58Updated 2 years ago
- 💪 🤔 Modern Super Learning with Machine Learning Pipelines☆105Updated 3 months ago
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 3 months ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 3 years ago
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆98Updated 3 years ago
- Model verification, validation, and error analysis☆59Updated last year
- Variable Importance Plots (VIPs)☆189Updated last month
- The xyz algorithm for fast interaction search in high-dimensional data.☆13Updated 8 years ago
- Extensions for the DALEX package☆68Updated last year
- Bayesian Optimization of Hyperparameters☆87Updated last year
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆59Updated last year
- Moment-Based Estimation for Hierarchical Models (R Package)☆26Updated 6 months ago
- C++ implementation and R API for componentwise boosting☆23Updated 2 years ago
- Discrete Bayesian Additive Regression Trees Sampler☆59Updated 2 weeks ago
- The set of functions used for time series analysis and in forecasting.☆94Updated last week
- Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…☆76Updated 11 months ago
- R Bindings to the Certifiably Optimal Rule Lists (Corels) Learner☆48Updated last month
- Machine Learning Evaluation Metrics☆69Updated last year
- An R-Java Bayesian Additive Regression Trees implementation☆62Updated last year
- Documentation for the DALEX project☆36Updated last year
- ☆34Updated 3 years ago
- Parallelizable Bayesian Optimization in R☆113Updated 3 years ago
- Heterogeneous effects analysis of conjoint experiments using BART☆10Updated 2 years ago
- R implementation for random forests with distribution-based loss functions☆25Updated 5 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆83Updated last year
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆91Updated last year
- A Framework for Dimensionality Reduction in R☆73Updated 6 months ago
- Extra recipes for predictor embeddings☆143Updated 3 weeks ago
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 9 months ago