Package: r-cran-mlr (2.13-1)

[ Source: r-cran-mlr  ]

Machine learning in GNU R

Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with modern optimization techniques, for single- and multi-objective problems. Filter and wrapper methods for feature selection. Extension of basic learners with additional operations common in machine learning, also allowing for easy nested resampling. Most operations can be parallelized.

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Architecture	Package Size	Installed Size	Files
amd64	4,698.7 kB	5,516.0 kB	[list of files]
arm64	4,698.1 kB	5,520.0 kB	[list of files]
armhf	4,697.8 kB	5,515.0 kB	[list of files]
i386	4,698.5 kB	5,523.0 kB	[list of files]