Looking for a R mlr alternative? We've compiled the best options based on user reviews, features, and pricing to help you find the right fit.
What is R mlr? R mlr is an R package that provides a unified interface for classification, regression, survival analysis and clustering. It features automated machine learning with hyperparameter tuning, flexible feature preprocessing and model ensemble capabilities.
R MLstudio is an integrated development environment for R that facilitates machine learning model building. It includes a code editor, …
Auto-sklearn is an open source machine learning library for Python that automates hyperparameter tuning and model selection. It builds on …
R mlr is an R package that provides a unified interface for classification, regression, survival analysis and clustering. It features:Automated machine learning with hyperparameter tuning using various search strategies like grid search, random search, Bayesian optimization etc.Support for over 60 learners from regression, classification, survival analysis, cluster analysis etc.Flexible feature preprocessing with missing value imputation, scaling, generating interactions etc.Model ensemble capabilities like stacking and baggingBuilt-in resampling for robust performance estimation like cross-validation and bootstrappingFeature selection and hyperparameter tuning capabilitiesEasy integration …
| Software | Pricing | Score |
|---|---|---|
| R mlr | N/A | — |
| R MLstudio | Open Source | — |
| datarobot | N/A | — |
| H2O.ai | Open Source | — |
| R Caret | Open Source | — |
| python auto-sklearn | Open Source | — |
| ML.NET | Open Source | — |
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