giuseppec / featureImportanceLinks
An R package to assess feature importance
☆33Updated 4 years ago
Alternatives and similar repositories for featureImportance
Users that are interested in featureImportance are comparing it to the libraries listed below
Sorting:
- R package EloML: Elo rating system for machine learning models☆24Updated 3 years ago
- A Semi-Supervised Learning package for the R programming language☆58Updated 2 months ago
- Fast approximate Shapley values in R☆127Updated 7 months ago
- an R package for deriving Prediction Rule Ensembles☆58Updated 6 months ago
- An R package for clustering mixed-type data☆16Updated 2 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆84Updated 2 years ago
- A Framework for Dimensionality Reduction in R☆73Updated 8 months ago
- The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)☆47Updated 6 years ago
- An R wrapper of SHAP python library☆58Updated 2 years ago
- oddstream {Outlier Detection in Data STREAMs}☆64Updated 5 years ago
- R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…☆48Updated 6 years ago
- Model verification, validation, and error analysis☆59Updated last year
- Structure mining for xgboost model☆26Updated 4 years ago
- R package for fitting joint models to time-to-event data and multivariate longitudinal data☆32Updated 10 months ago
- Piece-wise exponential Additive Mixed Modeling tools☆51Updated 3 weeks ago
- Time Series Forecasting Using KNN☆11Updated 2 years ago
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 4 months ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated last week
- Bayesian Optimization of Hyperparameters☆87Updated last year
- Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition☆16Updated 6 years ago
- Effects and Importances of Model Ingredients☆38Updated 2 years ago
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆59Updated 2 years ago
- Feature-based Forecast Model Selection (FFORMS)☆78Updated 3 years ago
- Variable importance via oscillations☆14Updated 5 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆19Updated 5 years ago
- Adaptive and automatic gradient boosting computations.☆70Updated 3 years ago
- ☆34Updated 3 years ago
- CRAN Task View: Anomaly Detection☆110Updated 2 months ago
- reference material for classical hypothesis tests☆75Updated 3 years ago
- Feature Selection in R using glmnet-lasso, xgboost and ranger☆56Updated last year