Learn R Programming

analysisPipelines (version 1.0.2)

exportAsMetaPipeline: Method to export a meta-pipeline

Description

Method to export a meta-pipeline

Usage

exportAsMetaPipeline(object)

# S4 method for BaseAnalysisPipeline exportAsMetaPipeline(object)

Arguments

object

A Pipeline object

Value

an object of class "MetaAnalysisPipeline"

Details

This method exports a Pipeline object i.e. of the classes AnalysisPipeline or StreamingAnalysisPipeline as a meta-pipeline

See Also

Other Package core functions: BaseAnalysisPipeline-class, MetaAnalysisPipeline-class, assessEngineSetUp, checkSchemaMatch, createPipelineInstance, generateOutput, genericPipelineException, getInput, getLoggerDetails, getOutputById, getPipelinePrototype, getPipeline, getRegistry, initDfBasedOnType, initialize,BaseAnalysisPipeline-method, loadMetaPipeline, loadPipeline, loadPredefinedFunctionRegistry, loadRegistry, prepExecution, registerFunction, savePipeline, saveRegistry, setInput, setLoggerDetails, updateObject, visualizePipeline

Examples

Run this code
# NOT RUN {
#' pipelineObj <- AnalysisPipeline(input = iris)
pipelineObj %>>% univarCatDistPlots(uniCol = "Species") %>>%
 exportAsMetaPipeline -> exportedMetaPipeline
# }

Run the code above in your browser using DataLab