redichh / ShapleyRLinks
Package for a nice and smoothe usage of the shapley value for mlr
☆26Updated 6 years ago
Alternatives and similar repositories for ShapleyR
Users that are interested in ShapleyR are comparing it to the libraries listed below
Sorting:
- Structure mining for xgboost model☆26Updated 4 years ago
- Ceteris Paribus Plots (What-If plots) for explanations of a single observation☆42Updated 4 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- An R wrapper of SHAP python library☆59Updated 2 years ago
- Introduction to Shiny workshop for satRday conference☆25Updated 8 years ago
- recommendations for creating R modeling packages☆41Updated 3 years ago
- MachineShop: R package of models and tools for machine learning☆62Updated 2 weeks ago
- Composable Preprocessing Operators for MLR☆37Updated last week
- Explain black box with GLM☆23Updated 5 years ago
- Functions for Bayesian A/B Testing Post☆24Updated 3 years ago
- Model verification, validation, and error analysis☆58Updated last year
- Example workflows for the drake R package☆56Updated 3 years ago
- R interface to Vowpal Wabbit☆23Updated 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 last year
- Effects and Importances of Model Ingredients☆37Updated 2 years ago
- Gower's distance for R☆29Updated last month
- TensorFlow with R☆46Updated 3 years ago
- A simple hello world R-docker example☆52Updated 5 years ago
- R interface to TensorFlow Datasets API☆34Updated 3 months ago
- Slides and code for the 2018 useR! tutorial "Recipes for Data Processing"☆30Updated 6 years ago
- The mlr package online tutorial☆20Updated 6 years ago
- Use dplyr verbs to build data.table expressions☆66Updated 2 years ago
- An R package for common supervised machine learning metrics.☆102Updated 5 years ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 3 years ago
- Instructions for installing and configuring a data science lab.☆18Updated 3 years ago
- useR! 2019 Tutorial: Automatic and Explainable Machine Learning with H2O in R (http://www.user2019.fr/tutorials/)☆26Updated 5 years ago
- Presentations for Madrid R conference☆24Updated 5 years ago
- Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME met…☆35Updated 5 years ago
- Materials for the Applied Machine Learning Workshop in Washington DC☆29Updated 6 years ago
- exploratory data analysis using random forests☆68Updated 7 years ago