ModelOriented / iBreakDownLinks
Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
☆84Updated last year
Alternatives and similar repositories for iBreakDown
Users that are interested in iBreakDown are comparing it to the libraries listed below
Sorting:
- Model verification, validation, and error analysis☆58Updated last year
- modelDown generates a website with HTML summaries for predictive models☆120Updated 2 years ago
- Extensions for the DALEX package☆67Updated 10 months ago
- An R wrapper of SHAP python library☆59Updated 2 years ago
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆58Updated last year
- Documentation for the DALEX project☆36Updated last year
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 4 months ago
- Fast approximate Shapley values in R☆123Updated last month
- Model Agnostics breakDown plots☆103Updated last year
- Feature-based Forecast Model Selection (FFORMS)☆78Updated 2 years ago
- Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.☆44Updated last year
- Package for a nice and smoothe usage of the shapley value for mlr☆26Updated 6 years ago
- Structure mining for xgboost model☆26Updated 4 years ago
- Effects and Importances of Model Ingredients☆37Updated 2 years ago
- Automated Feature Selection☆65Updated 6 years ago
- Adaptive and automatic gradient boosting computations.☆68Updated 2 years 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
- Package: R Interface to AutoKeras☆73Updated 4 years ago
- Triplot: Instance- and data-level explanations for the groups of correlated features.☆9Updated 4 years ago
- Automated exploratory data analysis☆83Updated 6 years ago
- Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020☆52Updated 3 years ago
- An R implementation of TabNet☆112Updated last week
- Surrogate Assisted Feature Extraction in R☆28Updated 2 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Updated 5 years ago
- Variable Importance Plots (VIPs)☆187Updated last year
- Bayesian comparisons of models using resampled statistics☆103Updated last month
- ☆29Updated 4 years ago
- oddstream {Outlier Detection in Data STREAMs}☆64Updated 5 years ago
- autoxgboost - Automatic tuning and fitting of xgboost☆123Updated 3 years ago