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:
- Ceteris Paribus Plots (What-If plots) for explanations of a single observation☆42Updated 5 years ago
- Structure mining for xgboost model☆26Updated 4 years ago
- An R wrapper of SHAP python library☆58Updated 2 years ago
- Model verification, validation, and error analysis☆58Updated 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
- An R interface to the Python module Featuretools☆50Updated 5 years ago
- Little R utility package for making time series data more machine learning-friendly☆49Updated 5 years ago
- An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…☆23Updated 6 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
- Introduction to Shiny workshop for satRday conference☆25Updated 8 years ago
- subsemble R package for ensemble learning on subsets of data☆43Updated 3 years ago
- A Minimalistic Framework for Creating, Managing and Training Multiple Caret Models☆23Updated last year
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆98Updated 3 years ago
- MachineShop: R package of models and tools for machine learning☆62Updated 2 months ago
- Model Agnostics breakDown plots☆103Updated last year
- Tutorial on text-mining and distributional semantics with {tm}, {openNLP}, and {topicmodels} in R. Based on my BelgradeR Meetup - Methods…☆20Updated 8 years ago
- Machine learning in R that doesn’t suck☆51Updated 7 years ago
- exploratory data analysis using random forests☆68Updated 7 years ago
- Machine learning pipelines for R.☆67Updated 8 years ago
- Slides and code for the 2018 useR! tutorial "Recipes for Data Processing"☆30Updated 7 years ago
- An R package for common supervised machine learning metrics.☆102Updated 5 years ago
- R Interface for GraphFrames☆37Updated 3 years ago
- A high-level interface to keras for R that takes advantage of formulas☆50Updated 6 years ago
- Functions for Bayesian A/B Testing Post☆24Updated 3 years ago
- recommendations for creating R modeling packages☆41Updated 3 years ago
- Data and scripts for keras course☆43Updated 5 years ago
- The mlr package online tutorial☆20Updated 7 years ago
- Package that implements several techniques to re-balance or remove noisy instances in unbalanced datasets.☆32Updated 3 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago