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 package for deriving Prediction Rule Ensembles☆58Updated 6 months ago
- Easy Hyper Parameter Optimization with mlr and mlrMBO.☆30Updated 3 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- Triplot: Instance- and data-level explanations for the groups of correlated features.☆9Updated 3 years ago
- An R wrapper of SHAP python library☆58Updated last year
- R package EloML: Elo rating system for machine learning models☆24Updated 2 years ago
- Piece-wise exponential Additive Mixed Modeling tools☆48Updated this week
- Documentation for the DALEX project☆35Updated 10 months ago
- Structure mining for xgboost model☆26Updated 3 years ago
- R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…☆45Updated 5 years ago
- Helpers for parameters in black-box optimization, tuning and machine learning.☆26Updated 3 weeks ago
- miceRanger: Fast Imputation with Random Forests in R☆67Updated 2 years ago
- Composable Preprocessing Operators for MLR☆37Updated 10 months ago
- Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The …☆26Updated last week
- mlr3 extension for Fairness in Machine Learning☆14Updated 5 months ago
- An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExp…☆23Updated 5 years ago
- Friedman's H-statistics☆29Updated last month
- Variable importance via oscillations☆14Updated 4 years ago
- The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)☆48Updated 5 years ago
- Effects and Importances of Model Ingredients☆37Updated last year
- autoxgboost - Automatic tuning and fitting of xgboost☆122Updated 3 years ago
- Model verification, validation, and error analysis☆58Updated last year
- ☆31Updated 2 years ago
- Recurrent Event Data Analysis☆14Updated 10 months ago
- Machine learning explanations☆22Updated 5 months ago
- ☆9Updated 8 years ago
- a faster arff parser☆12Updated 3 years ago
- Feature-based Forecast Model Selection (FFORMS)☆79Updated 2 years ago
- Flexible Mixed Integer Evolutionary Strategies☆15Updated 4 months ago
- An R interface to the Python module Featuretools☆49Updated 4 years ago