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✨
pipeliner/json (API)
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

5.94 score 67 stars 26 scripts 115 downloads 1 mentions 6 exports 0 dependencies

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

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-winOKNov 06 2024
R-4.5-linuxOKNov 06 2024
R-4.4-winOKNov 06 2024
R-4.4-macOKNov 06 2024
R-4.3-winOKNov 06 2024
R-4.3-macOKNov 06 2024

Exports:estimate_modelinv_transform_responseml_pipline_builderpipelinetransform_featurestransform_response

Dependencies:

Introduction

Alex Ioannides

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Nov 06 2024.

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