prepExecution: Prepare the pipleline for execution

In analysisPipelines: Compose Interoperable Analysis Pipelines & Put Them in Production

Description

Prepare the pipleline for execution

Usage

prepExecution(object)

## S4 method for signature 'BaseAnalysisPipeline'
prepExecution(object)

Arguments

object

A Pipeline object

Details

The pipeline is prepared for execution by identifying the graph of the pipeline as well as its topological ordering, and dependency map in order to prepare for execution

Value

Updated AnalysisPipeline StreamingAnalysisPipeline object

See Also

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

Examples

## Not run: 
library(analysisPipelines)
pipelineObj <- AnalysisPipeline(input = iris)
pipelineObj %>>% univarCatDistPlots(uniCol = "Species",
 priColor = "blue", optionalPlots = 0, storeOutput = T) %>>%
prepExecution -> pipelineObj

## End(Not run)

analysisPipelines documentation built on July 1, 2020, 7:09 p.m.