ModelOriented / shapperLinks
An R wrapper of SHAP python library
☆59Updated 2 years ago
Alternatives and similar repositories for shapper
Users that are interested in shapper are comparing it to the libraries listed below
Sorting:
- fable extension for the prophet forecasting procedure☆56Updated last year
- Use dplyr verbs to build data.table expressions☆66Updated 2 years ago
- Extra recipes for predictor embeddings☆143Updated 2 months ago
- Bayesian comparisons of models using resampled statistics☆103Updated last month
- An R implementation of TabNet☆111Updated this week
- Parsnip backends for `tree`, `lightGBM` and `Catboost`☆86Updated 3 years ago
- Boilerplate Code for tidymodels☆85Updated last month
- BRowse Over Longitudinal Data Graphically and Analytically in R☆112Updated 2 months ago
- Quantify extrapolation of new samples given a training set☆47Updated last year
- Explain black box with GLM☆23Updated 5 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- Extensions for the DALEX package☆67Updated 10 months ago
- modelDown generates a website with HTML summaries for predictive models☆120Updated 2 years ago
- Example workflows for the drake R package☆56Updated 3 years ago
- Vectorised distributions for R☆101Updated 2 months ago
- Tools for creating tuning parameter values☆116Updated 2 months ago
- TensorFlow with R☆46Updated 3 years ago
- Effects and Importances of Model Ingredients☆37Updated 2 years ago
- R package for plotting simple decision tree partitions☆99Updated last month
- Run models inside a database using R☆80Updated last year
- Construct Modeling Packages☆104Updated 2 months ago
- Tools for doing statistical inference using data plots☆57Updated 4 months ago
- parsnip extension for rule-based models☆41Updated 2 months ago
- Piece-wise exponential Additive Mixed Modeling tools☆49Updated 2 weeks ago
- An R interface to the Python module Featuretools☆50Updated 5 years ago
- Fast multivariate imputation by random forests.☆70Updated 2 months ago
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆95Updated 2 years ago
- A versatile cutting tool for R☆139Updated last year
- GLMMs with adaptive Gaussian quadrature☆60Updated 3 months ago
- Visualizations for mlr3☆45Updated 5 months ago