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A collection of machine learning helper functions, particularly assisting in the Exploratory Data Analysis phase. Makes heavy use of the 'data.table' package for optimal speed and memory efficiency. Highlights include a versatile bin_data() function, sparsify() for converting a data.table to sparse matrix format with one-hot encoding, fast evaluation metrics, and empirical_cdf() for calculating empirical Multivariate Cumulative Distribution Functions.
| Version: | 0.3.5 |
| Imports: | data.table (≥ 1.9.7), Matrix, methods, stats |
| Suggests: | testthat |
| Published: | 2018-05-12 |
| Author: | Ben Gorman |
| Maintainer: | Ben Gorman <bgorman at GormAnalysis.com> |
| BugReports: | https://github.com/ben519/mltools/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ben519/mltools |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | mltools results |
| Reference manual: | mltools.pdf |
| Package source: | mltools_0.3.5.tar.gz |
| Windows binaries: | r-devel: mltools_0.3.5.zip, r-release: mltools_0.3.5.zip, r-oldrel: mltools_0.3.5.zip |
| macOS binaries: | r-release (arm64): mltools_0.3.5.tgz, r-oldrel (arm64): mltools_0.3.5.tgz, r-release (x86_64): mltools_0.3.5.tgz, r-oldrel (x86_64): mltools_0.3.5.tgz |
| Old sources: | mltools archive |
| Reverse depends: | rMIDAS |
| Reverse imports: | CoOL, CRISPRseek, D2MCS, distillML, iimi, MSclassifR, processpredictR, visualpred |
| Reverse suggests: | SmCCNet |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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