ModelOriented / iBreakDownLinks
Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)
☆83Updated 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☆59Updated last year
- Fast approximate Shapley values in R☆125Updated 5 months ago
- Extensions for the DALEX package☆68Updated last year
- An R wrapper of SHAP python library☆58Updated 2 years ago
- Automated exploratory data analysis☆83Updated 6 years ago
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆59Updated last year
- modelDown generates a website with HTML summaries for predictive models☆120Updated 3 years ago
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 8 months ago
- Model Agnostics breakDown plots☆103Updated last year
- 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
- Documentation for the DALEX project☆36Updated last year
- Effects and Importances of Model Ingredients☆38Updated 2 years ago
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 5 years ago
- Structure mining for xgboost model☆26Updated 4 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 3 years ago
- Automated Feature Selection☆65Updated 6 years ago
- Feature-based Forecast Model Selection (FFORMS)☆78Updated 3 years ago
- R package for data preprocessing☆13Updated 5 years ago
- Ceteris Paribus Plots (What-If plots) for explanations of a single observation☆42Updated 5 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
- miceRanger: Fast Imputation with Random Forests in R☆69Updated 3 years ago
- An R interface to the Python module Featuretools☆50Updated 5 years ago
- autoxgboost - Automatic tuning and fitting of xgboost☆124Updated 3 years ago
- Data generator for Arena - interactive XAI dashboard☆31Updated 5 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago
- Package: R Interface to AutoKeras☆73Updated 4 years ago
- CRAN Task View: Anomaly Detection☆109Updated this week
- Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME met…☆35Updated 6 years ago
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 2 months ago