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:
- An R wrapper of SHAP python library☆58Updated 2 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
- Easy Hyper Parameter Optimization with mlr and mlrMBO.☆31Updated 4 years ago
- The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)☆47Updated 6 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆84Updated 2 years ago
- an R package for deriving Prediction Rule Ensembles☆58Updated 7 months ago
- Fast approximate Shapley values in R☆128Updated 7 months ago
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆59Updated 2 years ago
- Helpers for parameters in black-box optimization, tuning and machine learning.☆26Updated last year
- Time Series Forecasting Using KNN☆11Updated 2 years ago
- Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…☆77Updated last year
- Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition☆16Updated 6 years ago
- autoxgboost - Automatic tuning and fitting of xgboost☆124Updated 4 years ago
- Documentation for the DALEX project☆36Updated last year
- R package EloML: Elo rating system for machine learning models☆24Updated 3 years ago
- oddstream {Outlier Detection in Data STREAMs}☆64Updated 5 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated last month
- Model verification, validation, and error analysis☆59Updated 2 years ago
- ecr: Evolutionary Computation in R (version 2)☆43Updated 2 years ago
- Piece-wise exponential Additive Mixed Modeling tools☆51Updated last month
- Composable Preprocessing Operators for MLR☆37Updated 7 months ago
- Feature-based Forecast Model Selection (FFORMS)☆78Updated 3 years ago
- A Semi-Supervised Learning package for the R programming language☆58Updated 3 months ago
- Adaptive and automatic gradient boosting computations.☆70Updated 3 years ago
- Bayesian Optimization of Hyperparameters☆88Updated last year
- inTrees package☆40Updated last year
- Extensions for the DALEX package☆68Updated last week
- Effects and Importances of Model Ingredients☆38Updated 2 years ago
- Structure mining for xgboost model☆26Updated last week
- ☆34Updated 3 years ago