Package: pipeliner 0.1.1.900

Alex Ioannides

pipeliner: Machine Learning Pipelines for R

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.

Authors:Alex Ioannides

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pipeliner.pdf |pipeliner.html
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NEWS

# Install 'pipeliner' in R:
install.packages('pipeliner', repos = c('https://alexioannides.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/alexioannides/pipeliner/issues

On CRAN:

data-sciencemachine-learningmachine-learning-pipelinespipelinepredictionstatisticstransform-functionsworkflow

6 exports 67 stars 3.52 score 0 dependencies 1 mentions 26 scripts 154 downloads

Last updated 8 years agofrom:6ca3791d90. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-winOKSep 07 2024
R-4.5-linuxOKSep 07 2024
R-4.4-winOKSep 07 2024
R-4.4-macOKSep 07 2024
R-4.3-winOKSep 07 2024
R-4.3-macOKSep 07 2024

Exports:estimate_modelinv_transform_responseml_pipline_builderpipelinetransform_featurestransform_response

Dependencies:

Introduction

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Sep 07 2024.

Last update: 2016-12-16
Started: 2016-12-16