bgreenwell / fastshapLinks
Fast approximate Shapley values in R
☆125Updated 4 months ago
Alternatives and similar repositories for fastshap
Users that are interested in fastshap are comparing it to the libraries listed below
Sorting:
- Variable Importance Plots (VIPs)☆188Updated last month
- An R wrapper of SHAP python library☆58Updated 2 years ago
- Fast multivariate imputation by random forests.☆71Updated 6 months ago
- Extra recipes for predictor embeddings☆143Updated 2 weeks ago
- An R implementation of TabNet☆114Updated last month
- miceRanger: Fast Imputation with Random Forests in R☆69Updated 3 years ago
- Bayesian comparisons of models using resampled statistics☆102Updated 2 months 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
- Dataflow Programming for Machine Learning in R☆145Updated last week
- modelDown generates a website with HTML summaries for predictive models☆120Updated 3 years ago
- fable extension for the prophet forecasting procedure☆57Updated last year
- R6 object-oriented interface for probability distributions.☆102Updated last year
- Parallelizable Bayesian Optimization in R☆113Updated 2 years ago
- 💪 🤔 Modern Super Learning with Machine Learning Pipelines☆104Updated 2 months ago
- CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒☆109Updated this week
- R package for plotting simple decision tree partitions☆100Updated 4 months ago
- Extra recipes steps for dealing with unbalanced data☆141Updated 5 months ago
- Parsnip backends for `tree`, `lightGBM` and `Catboost`☆85Updated 3 years ago
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 2 months ago
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆59Updated last year
- Extensions for the DALEX package☆68Updated last year
- Hyperparameter optimization package of the mlr3 ecosystem☆59Updated 2 weeks ago
- Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020☆53Updated 4 years ago
- Trees are all you need☆112Updated last year
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆83Updated last year
- ☆64Updated 2 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)