Python implementation of iterative-random-forests
☆68Dec 20, 2023Updated 2 years ago
Alternatives and similar repositories for iterative-Random-Forest
Users that are interested in iterative-Random-Forest are comparing it to the libraries listed below
Sorting:
- Iterative Random Forest based on the Ranger Code Base☆10Sep 14, 2021Updated 4 years ago
- ☆14Nov 27, 2025Updated 3 months ago
- iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features☆48Mar 2, 2021Updated 4 years ago
- Reticulate wrapper for hyperopt☆11Jan 14, 2020Updated 6 years ago
- Variable importance via oscillations☆14Sep 26, 2020Updated 5 years ago
- [DEPRECATED] An R package to pre-process bulk EKG data and detect the physiological peaks☆12Aug 22, 2016Updated 9 years ago
- Python Interface of the Scalable Bayesian Rule Lists☆20Feb 2, 2020Updated 6 years ago
- Helpers for parameters in black-box optimization, tuning and machine learning.☆26Dec 22, 2024Updated last year
- Concept Drift and Concept Shift Detection for Predictive Models☆19Sep 24, 2019Updated 6 years ago
- This package is archived and further developed under the name RFSurrogates. In this R-package functions are provided to select important …☆11Jul 27, 2023Updated 2 years ago
- A rule-based aproach to explain the output of any machine learning model☆15Apr 4, 2024Updated last year
- Diagnostics for confounding of time-varying and other joint exposures☆11Dec 12, 2022Updated 3 years ago
- Tree interpretation methods based on ranger☆13Jan 30, 2026Updated last month
- Unjoin data frames☆12May 13, 2020Updated 5 years ago
- [AAAI 24] GradTree: Gradient-Based Axis-Aligned Decision Trees☆15Aug 28, 2024Updated last year
- ☆12Aug 10, 2024Updated last year
- CPI: Conditional Predictive Impact☆12Nov 25, 2024Updated last year
- The holdout randomization test: feature selection using black box predictive models☆22Mar 19, 2021Updated 4 years ago
- Reverse Geocoding in R with Google Maps API and Photon API☆22Apr 16, 2024Updated last year
- Experiments with experimental rule-based models to go along with imodels.☆18Jan 7, 2026Updated last month
- Targeted inference (R package) https://kkholst.github.io/targeted/☆12Updated this week
- Decision tree interpreter for randomForest/ranger as described in☆12Sep 18, 2025Updated 5 months ago
- R package for weighted model metrics☆11Apr 12, 2025Updated 10 months ago
- Race and Ethnicity based on name using data from census, voter reg. files, etc.☆11Jan 17, 2018Updated 8 years ago
- ☆10Nov 30, 2022Updated 3 years ago
- Robust Sparse PCA using the ROSPCA algorithm of Hubert et al. (2016)☆13Nov 30, 2024Updated last year
- Fast, weighted ROC curves☆27Jan 27, 2026Updated last month
- ☆18May 23, 2025Updated 9 months ago
- A Unified Framework for Random Forest Prediction Error Estimation☆26Aug 10, 2021Updated 4 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Aug 6, 2022Updated 3 years ago
- Multi-objective optimization in R☆12Sep 26, 2025Updated 5 months ago
- Advanced GBM Workshop - Budapest, Nov 2019☆13Nov 18, 2019Updated 6 years ago
- ☆14Jun 11, 2018Updated 7 years ago
- CausalFX R Package☆13Jun 22, 2015Updated 10 years ago
- LIME-like explanations with interpretable features based on Ceteris Paribus curves. Now on CRAN.☆14Sep 19, 2021Updated 4 years ago
- An R package for easy parallel computing, logging, and function call automation.☆13Nov 21, 2025Updated 3 months ago
- Sparse and Regularized Discriminant Analysis in R☆14Nov 15, 2020Updated 5 years ago
- Multivariate Automatic Differentiation R package☆31Oct 20, 2023Updated 2 years ago
- a faster arff parser☆13May 10, 2021Updated 4 years ago