gbm-developers / gbmLinks
Gradient boosted models (the old gbm package)
☆54Updated last week
Alternatives and similar repositories for gbm
Users that are interested in gbm are comparing it to the libraries listed below
Sorting:
- Examples of using Rcpp to interface R and C++☆49Updated 2 weeks ago
- Rcpp (free of Java/Weka) implementation of FSelector entropy-based feature selection algorithms with a sparse matrix support☆36Updated last year
- An R package for visualizing classifier performance (Sing/Sander/Beerenwinkel/Lengauer [2005] Bioinformatics)☆39Updated last week
- Source code for the Rcpp Gallery website☆69Updated 9 months ago
- A minimal R package with examples of most common components☆90Updated 4 years ago
- Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering☆84Updated last month
- R package to interface some popular parallelization backends with a unified interface☆57Updated 2 years ago
- R Package: Parallel Distance Matrix Computation using Multiple Threads☆51Updated 4 months ago
- Using R with many CPUs☆48Updated 10 years ago
- Feature Selection in R using glmnet-lasso, xgboost and ranger☆56Updated last year
- A collection of Rfast2 functions for data analysis. Note 1: The vast majority of the functions accept matrices only, not data.frames. N…☆41Updated 3 months ago
- 🍱 R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)☆46Updated 6 years ago
- Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).☆21Updated 5 months ago
- Visualization of regression functions☆64Updated last month
- Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The …☆27Updated this week
- Fast covariance, correlation, and cosine similarity.☆37Updated 4 years ago
- Perform PCA on data with missing values in R☆53Updated 2 years ago
- 🤠 📿 The Highly Adaptive Lasso☆49Updated last year
- Regularization paths for SCAD- and MCP-penalized regression models☆44Updated last week
- R package for large-scale similarity/distance computation☆29Updated last month
- A random-forest-based approach for imputing clustered incomplete data☆36Updated 8 years ago
- R package for tableplot visualisation☆95Updated 4 years ago
- missForest is a nonparametric, mixed-type imputation method for basically any type of data for the statistical software R.☆106Updated 3 months ago
- Recursive Partitioning and Regression Trees☆55Updated 8 months ago
- A fast and flexible framework for data reduction in R☆37Updated last year
- Regularization paths for regression models with grouped covariates☆35Updated last month
- CRAN R Package: Ridge Regression with automatic selection of the penalty parameter☆18Updated 2 years ago
- Fast multivariate imputation by random forests.☆71Updated 9 months ago
- Setup script to create the binary installer for the released clang binaries used to compile R☆57Updated 2 years ago
- Fast, weighted ROC curves☆27Updated this week