liuyanguu / SHAPforxgboost
SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'
☆118Updated last year
Alternatives and similar repositories for SHAPforxgboost
Users that are interested in SHAPforxgboost are comparing it to the libraries listed below
Sorting:
- Shap values for model interpretation☆63Updated 5 years ago
- SHAP Plots in R☆97Updated last month
- Regression Modeling Strategies☆185Updated last week
- Variable Importance Plots (VIPs)☆187Updated last year
- Meta-package for installing/updating mlr3* packages.☆56Updated 4 months ago
- miceRanger: Fast Imputation with Random Forests in R☆68Updated 2 years ago
- Fast multivariate imputation by random forests.☆70Updated last month
- ggplot-based graphics and useful functions for GAMs fitted using the mgcv package☆218Updated last week
- DOCUMENTATION:☆126Updated last month
- Extra learners for use in mlr3.☆96Updated this week
- Probabilistic Learning for mlr3☆137Updated last month
- An R implementation of TabNet☆110Updated this week
- Tidy Verbs for Fast Data Manipulation☆104Updated last week
- CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒☆109Updated 2 months ago
- The msm R package for continuous-time multi-state modelling of panel data☆62Updated 6 months ago
- Fast approximate Shapley values in R☆121Updated last year
- Visualizing Prediction Model Performance☆76Updated last year
- Perform PCA on data with missing values in R☆51Updated last year
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 4 years ago
- An R wrapper of SHAP python library☆59Updated last year
- An R package for extracting results from mixed models that are easy to use and viable for presentation.☆71Updated 2 years ago
- missForest is a nonparametric, mixed-type imputation method for basically any type of data for the statistical software R.☆94Updated last year
- ☆64Updated last year
- Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification☆87Updated 2 months ago
- A document introducing generalized additive models.📈☆79Updated last year
- Graphical analysis of random forests with the randomForestSRC, randomForest and ggplot2 packages.☆147Updated 3 weeks ago
- Parallelizable Bayesian Optimization in R☆110Updated 2 years ago
- Extensions for the DALEX package☆67Updated 9 months ago
- Recommended learners for mlr3☆92Updated this week
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆59Updated 6 months ago