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Provides 'R6' abstract classes for building machine learning models with 'scikit-learn' like API. <https://scikit-learn.org/> is a popular module for 'Python' programming language which design became de facto a standard in industry for machine learning tasks.
| Version: | 0.1.1 |
| Depends: | methods |
| Imports: | R6 (≥ 2.2.1), Matrix (≥ 1.1) |
| Suggests: | knitr |
| Published: | 2022-04-24 |
| Author: | Dmitriy Selivanov |
| Maintainer: | Dmitriy Selivanov <selivanov.dmitriy at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | mlapi results |
| Reference manual: | mlapi.pdf |
| Vignettes: |
Developing machine learning models with 'mlapi' |
| Package source: | mlapi_0.1.1.tar.gz |
| Windows binaries: | r-devel: mlapi_0.1.1.zip, r-release: mlapi_0.1.1.zip, r-oldrel: mlapi_0.1.1.zip |
| macOS binaries: | r-release (arm64): mlapi_0.1.1.tgz, r-oldrel (arm64): mlapi_0.1.1.tgz, r-release (x86_64): mlapi_0.1.1.tgz, r-oldrel (x86_64): mlapi_0.1.1.tgz |
| Old sources: | mlapi archive |
| Reverse imports: | text2vec |
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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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