mlr3learners: Recommended Learners for 'mlr3'

Canonical link: https://scholar.rpkg.net/pkg/mlr3learners

michel lang • View description and downloads View dependencies GitHub project

2019 Published

0.6.0 Version

0 Citations

1 Authors

Referenced by ⇅	Year
mlr3benchmark: Analysis and Visualisation of Benchmark Experiments (Version 0.1.6)	2020
mlr3fairness: Fairness Auditing and Debiasing for 'mlr3' (Version 0.3.2)	2022
mlr3filters: Filter Based Feature Selection for 'mlr3' (Version 0.8.0)	2019
mlr3fselect: Feature Selection for 'mlr3' (Version 0.12.0)	2020
mlr3hyperband: Hyperband for 'mlr3' (Version 0.5.0)	2020
mlr3mbo: Flexible Bayesian Optimization (Version 0.2.2)	2022
mlr3pipelines: Preprocessing Operators and Pipelines for 'mlr3' (Version 0.5.1)	2019
mlr3shiny: Machine Learning in 'shiny' with 'mlr3' (Version 0.3.0)	2020
mlr3spatial: Support for Spatial Objects Within the 'mlr3' Ecosystem (Version 0.5.0)	2021
mlr3summary: Model and Learner Summaries for 'mlr3' (Version 0.1.0)	2024
mlr3tuning: Hyperparameter Optimization for 'mlr3' (Version 0.20.0)	2019
mlr3tuningspaces: Search Spaces for 'mlr3' (Version 0.5.0)	2021
mlr3verse: Easily Install and Load the 'mlr3' Package Family (Version 0.2.8)	2019
mlr3viz: Visualizations for 'mlr3' (Version 0.8.0)	2020
mlrintermbo: Model-Based Optimization for 'mlr3' Through 'mlrMBO' (Version 0.5.0)	2021
DoubleML: Double Machine Learning in R (Version 1.0.0)	2020
GenericML: Generic Machine Learning Inference (Version 0.2.2)	2021
NADIA: NA Data Imputation Algorithms (Version 0.4.2)	2020
counterfactuals: Counterfactual Explanations (Version 0.1.2)	2023
cpi: Conditional Predictive Impact (Version 0.1.4)	2022
explainer: Machine Learning Model Explainer (Version 1.0.0)	2023
highMLR: Feature Selection for High Dimensional Survival Data (Version 0.1.1)	2021
mcboost: Multi-Calibration Boosting (Version 0.4.3)	2021
miesmuschel: Mixed Integer Evolution Strategies (Version 0.0.3)	2022
sense: Automatic Stacked Ensemble for Regression Tasks (Version 1.0.0)	2021
spFSR: Feature Selection and Ranking via Simultaneous Perturbation Stochastic Approximation (Version 2.0.4)	2018
vetiver: Version, Share, Deploy, and Monitor Models (Version 0.2.5)	2021
vivid: Variable Importance and Variable Interaction Displays (Version 0.2.8)	2021

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