A framework for defining 'pipelines' of functions for applying data transformations, model estimation and inverse-transformations, resulting in predicted value generation (or model-scoring) functions that automatically apply the entire pipeline of functions required to go from input to predicted output.
| Version: | 0.1.1 |
| Suggests: | knitr,testthat,rmarkdown,modelr,tidyverse |
| Published: | 2016-12-19 |
| DOI: | 10.32614/CRAN.package.pipeliner |
| Author: | Alex Ioannides |
| Maintainer: | Alex Ioannides <alex.ioannides at yahoo.co.uk> |
| BugReports: | https://github.com/alexioannides/pipeliner/issues |
| License: | Apache License 2.0 |
| URL: | https://github.com/alexioannides/pipeliner |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | pipeliner results |
| Reference manual: | pipeliner.html ,pipeliner.pdf |
| Vignettes: | Introduction (source,R code) |
| Package source: | pipeliner_0.1.1.tar.gz |
| Windows binaries: | r-devel:pipeliner_0.1.1.zip, r-release:pipeliner_0.1.1.zip, r-oldrel:pipeliner_0.1.1.zip |
| macOS binaries: | r-release (arm64):pipeliner_0.1.1.tgz, r-oldrel (arm64):pipeliner_0.1.1.tgz, r-release (x86_64):pipeliner_0.1.1.tgz, r-oldrel (x86_64):pipeliner_0.1.1.tgz |
| Old sources: | pipeliner archive |
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