ModelOriented / randomForestExplainerLinks
A set of tools to understand what is happening inside a Random Forest
☆236Updated last year
Alternatives and similar repositories for randomForestExplainer
Users that are interested in randomForestExplainer are comparing it to the libraries listed below
Sorting:
- An R package that makes xgboost models fully interpretable☆255Updated 7 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆286Updated 7 months ago
- R Package for Time Series Clustering Along with Optimizations for DTW☆263Updated last year
- Introduction to Empirical Bayes: Examples from Baseball Statistics☆194Updated 4 years ago
- Advanced High Performance Data Science Toolbox for R by Laurae☆205Updated 8 years ago
- ☆180Updated 3 years ago
- Notes on generalized linear models☆109Updated 6 years ago
- 🐢 bayesAB: Fast Bayesian Methods for A/B Testing☆315Updated 4 years ago
- Syberia: The development framework for R☆146Updated 7 years ago
- autoxgboost - Automatic tuning and fitting of xgboost☆124Updated 3 years ago
- R package for Distance Metric Learning☆58Updated 2 years ago
- This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.☆70Updated 7 years ago
- Gradient boosted models☆146Updated last year
- caret models all the way down☆227Updated this week
- Current version of the SuperLearner R package☆281Updated last year
- Model Agnostics breakDown plots☆103Updated last year
- Scalable decision tree training and inference.☆83Updated 6 months ago
- Dimensionality reduction for binary data☆51Updated 4 years ago
- Inside every classical test there is a Bayesian model trying to get out.☆327Updated 9 years ago
- Library of Stan Models for Survival Analysis☆124Updated 5 years ago
- Bayesian Optimization of Hyperparameters☆87Updated last year
- Toolbox for Bayesian Optimization and Model-Based Optimization in R☆188Updated last year
- Variable Importance Plots (VIPs)☆189Updated last year
- Anomalous time series package for R☆93Updated 7 years ago
- Anomalous time series package for R (ACM)☆119Updated 7 years ago
- Exploratory and diagnostic machine learning tools for R☆73Updated 3 years ago
- An R Package for Quick Uncertainty Intervals☆107Updated 2 weeks ago
- iml: interpretable machine learning R package☆501Updated 6 months ago
- Local Interpretable Model-Agnostic Explanations (R port of original Python package)☆487Updated 3 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