imbs-hl / timbRLinks
Tree interpretation methods based on ranger
☆13Updated 2 months ago
Alternatives and similar repositories for timbR
Users that are interested in timbR are comparing it to the libraries listed below
Sorting:
- This package is archived and further developed under the name RFSurrogates. In this R-package functions are provided to select important …☆11Updated 2 years ago
- Reticulate wrapper for hyperopt☆11Updated 5 years ago
- [DEPRECATED] An R package to pre-process bulk EKG data and detect the physiological peaks☆12Updated 9 years ago
- Subset partitioning via anticlustering☆36Updated 2 weeks ago
- R Package: Cross-validate one or multiple gaussian or binomial regression models at once. Perform repeated cross-validation. Returns resu…☆39Updated 2 weeks ago
- R package for weighted model metrics☆11Updated 6 months ago
- 🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions☆13Updated last year
- Sparse and Regularized Discriminant Analysis in R☆14Updated 4 years ago
- Prediction Performance Metrics☆78Updated last year
- A quick reference for how to run many models in R.☆13Updated 7 years ago
- R package for random forests model selection, inference, evaluation and validation☆27Updated 4 months ago
- Flexible Mixed Integer Evolutionary Strategies☆16Updated 7 months ago
- mlim: single and multiple imputation with automated machine learning☆32Updated last year
- Fast and convenient maximum likelihood estimation for latent Markov models like HMMs, HSMMs, SSMs and point processes☆10Updated 2 weeks ago
- Sparse matrix format with data on disk☆10Updated last year
- ☆14Updated 6 months ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Updated 3 years ago
- Automated machine learning in mlr3☆27Updated 3 years ago
- Black-box optimization framework for R.☆24Updated this week
- ☆18Updated 2 years ago
- A R package for multi-dimensional data visualization☆11Updated 3 months ago
- A high-performance R for supervised and unsupervised machine learning evaluation metrics witten in 'C++'.☆27Updated 3 months ago
- Measure Memory and CPU Usage of R Code☆20Updated 3 months ago
- Windowed Summarization for Autoregressive Data☆24Updated 4 years ago
- Perform inference on algorithm-agnostic variable importance☆24Updated 3 weeks ago
- Research project☆27Updated 3 years ago
- An R package for Neural Nets created using nnlib2☆13Updated 7 months ago
- This package is for visualising variable importance and variable interaction.☆27Updated last month
- Variable importance via oscillations☆14Updated 5 years ago
- Interpretability methods to analyze the behavior and individual predictions of modern neural networks in R.☆31Updated 6 months ago