lantanacamara / lightgbmExplainer
An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExplainer)
☆23Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for lightgbmExplainer
- Composable Preprocessing Operators for MLR☆37Updated 9 months ago
- R interface to TensorFlow Datasets API☆34Updated 4 months ago
- Package for a nice and smoothe usage of the shapley value for mlr☆25Updated 5 years ago
- LightGBM Online Installer [ devtools::install_github("Laurae2/lgbdl") ]☆16Updated 5 years ago
- R interface to Vowpal Wabbit☆22Updated 5 years ago
- Implement the rquery piped query algebra in R using data.table. Distributed under choice of GPL-2 or GPL-3 license.☆37Updated last year
- Structure mining for xgboost model☆25Updated 3 years ago
- Track, Visualize, and Manage TensorFlow Training Runs☆34Updated 7 months ago
- MachineShop: R package of models and tools for machine learning☆62Updated 3 months ago
- R Bindings to the Certifiably Optimal Rule Lists (Corels) Learner☆45Updated 3 months ago
- Gower's distance for R☆29Updated 5 months ago
- An R wrapper of SHAP python library☆58Updated last year
- Explain black box with GLM☆23Updated 5 years ago
- CRAN Task View: Model Deployment with R☆20Updated 2 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- Easy Hyper Parameter Optimization with mlr and mlrMBO.☆30Updated 2 years ago
- Comprehensive Cross-Validation Engine☆27Updated 2 years ago
- Cluster analysis for mlr3☆23Updated this week
- recommendations for creating R modeling packages☆41Updated 3 years ago
- The mlr package online tutorial☆20Updated 6 years ago
- Converting base R code to Armadillo code for use with RcppArmadillo or for external programs (e.g. Matlab, Mathematica, ...)☆30Updated last year
- Projection Pursuit Forest Algorithm for Supervised Classification☆18Updated 4 months ago
- The 'filehash' package for R☆24Updated last year
- an R package for deriving Prediction Rule Ensembles☆58Updated 5 months ago
- Fit Lasso model to binary rules created from tree ensembles☆10Updated 7 years ago
- ☆39Updated 8 years ago
- R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…☆45Updated 4 years ago
- Extended logging solution for R☆13Updated 8 years ago
- Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The …☆26Updated last year
- An R interface to the Python module Featuretools☆49Updated 4 years ago