mlr-org / mlr3probaLinks
Probabilistic Learning for mlr3
☆145Updated this week
Alternatives and similar repositories for mlr3proba
Users that are interested in mlr3proba are comparing it to the libraries listed below
Sorting:
- Extra learners for use in mlr3.☆110Updated this week
- Recommended learners for mlr3☆96Updated this week
- Meta-package for installing/updating mlr3* packages.☆63Updated last year
- Regression Modeling Strategies☆194Updated this week
- Parsnip wrappers for survival models☆122Updated 2 months ago
- Extra recipes for predictor embeddings☆144Updated this week
- Dataflow Programming for Machine Learning in R☆148Updated this week
- Fast multivariate imputation by random forests.☆71Updated 9 months ago
- Extra recipes steps for dealing with unbalanced data☆142Updated this week
- Variable Importance Plots (VIPs)☆190Updated last month
- R6 object-oriented interface for probability distributions.☆103Updated last year
- Hyperparameter optimization package of the mlr3 ecosystem☆58Updated last week
- SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'☆128Updated last month
- Extensions for the DALEX package☆68Updated 2 weeks ago
- Advanced Machine Learning and Visualization☆147Updated 3 weeks ago
- Visualizing Prediction Model Performance☆79Updated 2 years ago
- 💪 🤔 Modern Super Learning with Machine Learning Pipelines☆106Updated 6 months ago
- Tools for Descriptive Statistics and Exploratory Data Analysis☆93Updated this week
- Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Pres…☆275Updated last week
- Higher Level API for torch☆98Updated 3 months ago
- ☆63Updated 2 years ago
- miceRanger: Fast Imputation with Random Forests in R☆70Updated 3 years ago
- DOCUMENTATION:☆130Updated 2 weeks ago
- Tools for creating tuning parameter values☆116Updated last month
- Bayesian comparisons of models using resampled statistics☆102Updated 5 months ago
- An R implementation of TabNet☆114Updated 5 months ago
- Parsnip wrappers for mixed-level and hierarchical models☆73Updated 2 months ago
- Trees are all you need☆112Updated last year
- Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification☆90Updated 10 months ago
- A collection of Rfast functions for data analysis. Note 1: The vast majority of the functions accept matrices only, not data.frames. No…☆157Updated 3 months ago