ModelOriented / randomForestExplainerLinks
A set of tools to understand what is happening inside a Random Forest
☆238Updated 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☆258Updated 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 11 months ago
- Introduction to Empirical Bayes: Examples from Baseball Statistics☆196Updated 4 years ago
- Variable Importance Plots (VIPs)☆190Updated 2 weeks ago
- ☆183Updated 3 years ago
- Notes on generalized linear models☆109Updated 7 years ago
- Advanced High Performance Data Science Toolbox for R by Laurae☆205Updated 8 years ago
- 🐢 bayesAB: Fast Bayesian Methods for A/B Testing☆314Updated 4 years ago
- An R Package for Quick Uncertainty Intervals☆107Updated 4 months ago
- Practical examples for the R caret machine learning package☆69Updated 8 years ago
- caret models all the way down☆228Updated last week
- Model Agnostics breakDown plots☆104Updated last year
- Inside every classical test there is a Bayesian model trying to get out.☆326Updated 9 years ago
- An R package to create and visualise fast-and-frugal decision trees (FFTs)☆137Updated 3 months ago
- Current version of the SuperLearner R package☆285Updated last week
- autoxgboost - Automatic tuning and fitting of xgboost☆124Updated 3 years ago
- Toolbox for Bayesian Optimization and Model-Based Optimization in R☆188Updated 2 years ago
- R package for Distance Metric Learning☆58Updated 2 years ago
- R Package for Time Series Clustering Along with Optimizations for DTW☆263Updated 3 months ago
- iml: interpretable machine learning R package☆501Updated 10 months ago
- Exploratory and diagnostic machine learning tools for R☆73Updated 4 years ago
- Bayesian Optimization of Hyperparameters☆87Updated last year
- Syberia: The development framework for R☆146Updated 7 years ago
- R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"☆61Updated 3 years ago
- Hierarchical and Grouped Time Series☆112Updated last year
- Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors☆149Updated 3 years ago
- Local Interpretable Model-Agnostic Explanations (R port of original Python package)☆489Updated 2 weeks 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
- Library of Stan Models for Survival Analysis☆124Updated 5 years ago
- Recurrent Neural Networks in R☆77Updated 2 years ago