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analysisPipelines (version 1.0.2)

prepExecution: Prepare the pipleline for execution

Description

Prepare the pipleline for execution

Usage

prepExecution(object)

# S4 method for BaseAnalysisPipeline prepExecution(object)

Arguments

object

A Pipeline object

Value

Updated AnalysisPipeline StreamingAnalysisPipeline 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

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

Run this code
# NOT RUN {
library(analysisPipelines)
pipelineObj <- AnalysisPipeline(input = iris)
pipelineObj %>>% univarCatDistPlots(uniCol = "Species",
 priColor = "blue", optionalPlots = 0, storeOutput = T) %>>%
prepExecution -> pipelineObj
# }

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