ModelOriented / auditorLinks
Model verification, validation, and error analysis
☆58Updated last year
Alternatives and similar repositories for auditor
Users that are interested in auditor are comparing it to the libraries listed below
Sorting:
- An R wrapper of SHAP python library☆58Updated 2 years ago
- Package for a nice and smoothe usage of the shapley value for mlr☆26Updated 6 years ago
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆58Updated last year
- Structure mining for xgboost model☆26Updated 4 years ago
- Explain black box with GLM☆23Updated 5 years ago
- Ceteris Paribus Plots (What-If plots) for explanations of a single observation☆42Updated 5 years ago
- Effects and Importances of Model Ingredients☆37Updated 2 years ago
- Data generator for Arena - interactive XAI dashboard☆31Updated 4 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆83Updated last year
- Run models inside a database using R☆80Updated last year
- Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME met…☆35Updated 6 years ago
- Composable Preprocessing Operators for MLR☆37Updated 2 months ago
- Model Agnostics breakDown plots☆103Updated last year
- Machine learning pipelines for R.☆67Updated 8 years ago
- Machine learning in R that doesn’t suck☆51Updated 7 years ago
- R Bindings to the Certifiably Optimal Rule Lists (Corels) Learner☆48Updated 8 months ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- Tools for doing statistical inference using data plots☆57Updated 6 months ago
- Extra recipes for predictor embeddings☆143Updated 4 months ago
- reference material for classical hypothesis tests☆75Updated 3 years ago
- Extensions for the DALEX package☆67Updated last year
- Automated Feature Selection☆65Updated 6 years ago
- Bayesian comparisons of models using resampled statistics☆102Updated 3 weeks ago
- 💪 🤔 Modern Super Learning with Machine Learning Pipelines☆104Updated last month
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆98Updated 3 years ago
- Tidyverse activity dashboard☆73Updated 2 years ago
- Functions for Bayesian A/B Testing Post☆24Updated 3 years ago
- modelDown generates a website with HTML summaries for predictive models☆120Updated 3 years ago
- experimental machine learning container☆57Updated 2 weeks ago
- Encode Categorical Features (unmaintained)☆32Updated 2 years ago