ja-thomas / autoxgboost
autoxgboost - Automatic tuning and fitting of xgboost
☆122Updated 2 years ago
Related projects: ⓘ
- Parallelizable Bayesian Optimization in R☆104Updated last year
- An R package that makes xgboost models fully interpretable☆249Updated 6 years ago
- Hierarchical and Grouped Time Series☆110Updated last month
- Convenient functions for ensemble forecasts in R combining approaches from the {forecast} package☆79Updated 2 years ago
- Documentation for the DALEX project☆34Updated 6 months ago
- R package to tune parameters for machine learning(Support Vector Machine, Random Forest, and Xgboost), using bayesian optimization with g…☆45Updated 4 years ago
- Variable Importance Plots (VIPs)☆187Updated 10 months ago
- SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'☆105Updated 5 months ago
- The set of functions used for time series analysis and in forecasting.☆89Updated this week
- An R package to assess feature importance☆33Updated 3 years ago
- Bayesian Optimization of Hyperparameters☆84Updated 5 months ago
- Adaptive and automatic gradient boosting computations.☆66Updated 2 years ago
- ☆25Updated 6 years ago
- An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms☆130Updated 4 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆79Updated 9 months ago
- Explaining the output of machine learning models with more accurately estimated Shapley values☆140Updated last week
- Temporal HIErarchical Forecasting☆46Updated last year
- Exploratory and diagnostic machine learning tools for R☆72Updated 2 years ago
- Easy Hyper Parameter Optimization with mlr and mlrMBO.☆30Updated 2 years ago
- modelDown generates a website with HTML summaries for predictive models☆118Updated 2 years ago
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆91Updated 2 years ago
- Model Agnostics breakDown plots☆102Updated 6 months ago
- Fast approximate Shapley values in R☆113Updated 6 months ago
- Feature-based Forecast Model Selection (FFORMS)☆79Updated last year
- Blog about time series data mining in R.☆75Updated 8 months ago
- Toolbox for Bayesian Optimization and Model-Based Optimization in R☆187Updated last year
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆283Updated 3 months ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆72Updated 4 years ago
- The R package M4comp2018 contains the 100000 time series from the M4-competition (https://www.m4.unic.ac.cy/)☆47Updated 5 years ago
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆179Updated 5 months ago