ModelOriented / liveLinks
Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN
☆35Updated 6 years ago
Alternatives and similar repositories for live
Users that are interested in live are comparing it to the libraries listed below
Sorting:
- Model verification, validation, and error analysis☆59Updated last year
- Composable Preprocessing Operators for MLR☆37Updated 5 months ago
- 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
- Explain black box with GLM☆23Updated 6 years ago
- Structure mining for xgboost model☆26Updated 4 years ago
- Model Agnostics breakDown plots☆103Updated last year
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆59Updated 2 years ago
- Higher order fluid or coordinatized data transforms in R. Distributed under choice of GPL-2 or GPL-3 license.☆44Updated last year
- Ceteris Paribus Plots (What-If plots) for explanations of a single observation☆42Updated 5 years ago
- Implement the rquery piped query algebra in R using data.table. Distributed under choice of GPL-2 or GPL-3 license.☆38Updated 2 years ago
- Tools for doing statistical inference using data plots☆58Updated 9 months ago
- Machine learning pipelines for R.☆67Updated 8 years ago
- Build machine learning models in R like using python's scikit-learn library☆33Updated last year
- TensorFlow with R☆46Updated 4 years ago
- Automated Feature Selection☆65Updated 6 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated this week
- R Bindings to the Certifiably Optimal Rule Lists (Corels) Learner☆48Updated 2 months ago
- Track, Visualize, and Manage TensorFlow Training Runs☆34Updated 3 months ago
- Comprehensive Cross-Validation Engine☆27Updated 3 years ago
- recommendations for creating R modeling packages☆41Updated 4 years ago
- Bayesian comparisons of models using resampled statistics☆102Updated 4 months ago
- A Framework for Dimensionality Reduction in R☆73Updated 7 months ago
- Package that implements several techniques to re-balance or remove noisy instances in unbalanced datasets.☆32Updated 3 years ago
- Effects and Importances of Model Ingredients☆38Updated 2 years ago
- Helpers for parameters in black-box optimization, tuning and machine learning.☆26Updated 11 months ago
- An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…☆23Updated 6 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
- ☆23Updated 7 years ago
- R Interface for GraphFrames☆37Updated 4 years ago