giuseppec / featureImportance
An R package to assess feature importance
☆33Updated 3 years ago
Alternatives and similar repositories for featureImportance:
Users that are interested in featureImportance are comparing it to the libraries listed below
- An R wrapper of SHAP python library☆59Updated last year
- Easy Hyper Parameter Optimization with mlr and mlrMBO.☆30Updated 3 years ago
- Structure mining for xgboost model☆26Updated 4 years ago
- The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)☆47Updated 5 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- Feature-based Forecast Model Selection (FFORMS)☆78Updated 2 years ago
- An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…☆23Updated 5 years ago
- R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…☆46Updated 5 years ago
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆58Updated last year
- Documentation for the DALEX project☆36Updated last year
- Model verification, validation, and error analysis☆58Updated last year
- ☆17Updated 3 years ago
- Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The …☆26Updated last month
- ☆31Updated 2 years ago
- Helpers for parameters in black-box optimization, tuning and machine learning.☆26Updated 3 months ago
- Fast approximate Shapley values in R☆119Updated last year
- Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).☆19Updated this week
- a faster arff parser☆12Updated 3 years ago
- Effects and Importances of Model Ingredients☆37Updated 2 years ago
- Piece-wise exponential Additive Mixed Modeling tools☆48Updated last week
- Nested cross-validation for accurate confidence intervals for prediction error.☆41Updated 2 years ago
- Variable Importance Plots (VIPs)☆187Updated last year
- Package for a nice and smoothe usage of the shapley value for mlr☆26Updated 6 years ago
- CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒☆109Updated last month
- An R interface to the Python module Featuretools☆49Updated 4 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆84Updated last year
- Cluster analysis for mlr3☆23Updated last week
- Adaptive and automatic gradient boosting computations.☆68Updated 2 years ago
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 4 years ago
- Explain black box with GLM☆23Updated 5 years ago