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

pipeliner_0.1.1.900.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pipeliner/json (API)

# Install 'pipeliner' in R:

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

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

On CRAN:

data-science machine-learning machine-learning-pipelines pipeline prediction statistics transform-functions workflow

6.10 score 67 stars 38 scripts 261 downloads 1 mentions 6 exports 0 dependencies

Last updated from:6ca3791d90. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	134
source / vignettes	OK	165
linux-release	OK	108
macos-release	OK	203
macos-oldrel	OK	209
windows-devel	OK	75
windows-release	OK	53
windows-oldrel	OK	64
wasm-release	OK	112

Exports:estimate_model inv_transform_response ml_pipline_builder pipeline transform_features transform_response

Dependencies:

Introduction

Rendered fromIntroduction.Rmdusingknitr::rmarkdown

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Faster alternative to 'cbind_fast'	cbind_fast
Validate ml_pipeline_builder transform method returns data.frame	check_data_frame_throw_error
Validate estimate_model method returns an object with a 'predict' method defined	check_predict_method_throw_error
Validate ml_pipeline_builder transform method is a unary function	check_unary_func_throw_error
Estimate machine learning model	estimate_model
Custom error handler for printing the name of an enclosing function with error	func_error_handler
Inverse transform machine learning response variable	inv_transform_response
Build machine learning pipelines - object oriented API	ml_pipline_builder
Build machine learning pipelines - functional API	pipeline
pipeliner: machine learning pipelines for R	pipeliner-package pipeliner
Generate machine learning model prediction	predict_model
Predict method for ML pipelines	predict.ml_pipeline
Validate and clean transform function output	process_transform_throw_error
Transform machine learning feature variables	transform_features
Transform machine learning response variable	transform_response
Custom tryCatch configuration for pipeline segment segment functions	try_pipeline_func_call