AnotherSamWilson / ParBayesianOptimization
Parallelizable Bayesian Optimization in R
☆107Updated 2 years ago
Alternatives and similar repositories for ParBayesianOptimization:
Users that are interested in ParBayesianOptimization are comparing it to the libraries listed below
- Variable Importance Plots (VIPs)☆187Updated last year
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆131Updated 4 years ago
- Causal Inference using Bayesian Additive Regression Trees☆79Updated 5 months ago
- An R implementation of TabNet☆109Updated 4 months ago
- ☆64Updated last year
- Feature-based Forecast Model Selection (FFORMS)☆79Updated 2 years ago
- Trees are all you need☆113Updated 8 months ago
- The set of functions used for time series analysis and in forecasting.☆91Updated last week
- fable extension for the prophet forecasting procedure☆56Updated last year
- Hierarchical and Grouped Time Series☆111Updated last month
- CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒☆111Updated 2 years ago
- Fast approximate Shapley values in R☆118Updated 11 months ago
- General fable features useful for extension packages☆91Updated 2 weeks ago
- R package for automation of machine learning, forecasting, model evaluation, and model interpretation☆241Updated last month
- An R wrapper of SHAP python library☆58Updated last year
- autoxgboost - Automatic tuning and fitting of xgboost☆122Updated 3 years ago
- Probabilistic Learning for mlr3☆134Updated this week
- Adaptive and automatic gradient boosting computations.☆67Updated 2 years ago
- Extending broom for time series forecasting☆155Updated last year
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆93Updated 2 years ago
- Current version of the SuperLearner R package☆273Updated last year
- Extra recipes for predictor embeddings☆142Updated 3 weeks ago
- Hyperparameter optimization package of the mlr3 ecosystem☆55Updated last week
- 📍 Interactive Studio for Explanatory Model Analysis☆329Updated last year
- Explaining the output of machine learning models with more accurately estimated Shapley values☆152Updated last week
- Bayesian comparisons of models using resampled statistics☆102Updated 4 months ago
- Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…☆72Updated 3 months ago
- Dataflow Programming for Machine Learning in R☆141Updated this week
- DOCUMENTATION:☆122Updated last month
- Parsnip backends for `tree`, `lightGBM` and `Catboost`☆86Updated 2 years ago