AnotherSamWilson / ParBayesianOptimizationLinks
Parallelizable Bayesian Optimization in R
☆115Updated 3 years ago
Alternatives and similar repositories for ParBayesianOptimization
Users that are interested in ParBayesianOptimization are comparing it to the libraries listed below
Sorting:
- Variable Importance Plots (VIPs)☆190Updated 2 weeks ago
- Fast approximate Shapley values in R☆127Updated 7 months ago
- The set of functions used for time series analysis and in forecasting.☆94Updated this week
- CRAN Task View: Anomaly Detection☆110Updated 2 months ago
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆98Updated 3 years ago
- miceRanger: Fast Imputation with Random Forests in R☆69Updated 3 years ago
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 5 years ago
- Automation framework for machine learning, forecasting, model evaluation, and interpretation.☆245Updated 2 weeks ago
- An R implementation of TabNet☆114Updated 4 months ago
- An R wrapper of SHAP python library☆58Updated 2 years ago
- Feature Extraction And Statistics for Time Series☆307Updated 4 months ago
- SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'☆127Updated last week
- fable extension for the prophet forecasting procedure☆57Updated 2 years ago
- Extra recipes for predictor embeddings☆143Updated 3 weeks ago
- Explaining the output of machine learning models with more accurately estimated Shapley values☆171Updated this week
- ☆64Updated 2 years ago
- Fast multivariate imputation by random forests.☆71Updated 8 months ago
- Dataflow Programming for Machine Learning in R☆148Updated last week
- Current version of the SuperLearner R package☆285Updated last week
- Shap values for model interpretation☆67Updated 6 years ago
- An R package for optimization using genetic algorithms☆94Updated last year
- Bayesian comparisons of models using resampled statistics☆102Updated 4 months ago
- Package: R Interface to AutoKeras☆73Updated 4 years ago
- Parsnip backends for `tree`, `lightGBM` and `Catboost`☆86Updated 3 years ago
- Feature-based Forecast Model Selection (FFORMS)☆78Updated 3 years ago
- autoxgboost - Automatic tuning and fitting of xgboost☆124Updated 3 years ago
- Forecasting with Additive Switching of Seasonality, Trend and Exogenous Regressors☆149Updated 3 years ago
- Hierarchical and Grouped Time Series☆112Updated last year
- Trees are all you need☆112Updated last year
- 💪 🤔 Modern Super Learning with Machine Learning Pipelines☆106Updated 5 months ago