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Obtains the initializedInput
getInput(object)# S4 method for BaseAnalysisPipeline getInput(object)
# S4 method for BaseAnalysisPipeline getInput(object)
The AnalysisPipeline or StreamingAnalysisPipeline object
AnalysisPipeline
StreamingAnalysisPipeline
Dataframe for an AnalysisPipeline & SparkDataFrame for a StreamingAnalysisPipeline
Obtains the input from the AnalysisPipeline or StreamingAnalysisPipeline object
This method is implemented on the base class as it is a shared functionality types of Analysis Pipelines which extend this class
Other Package core functions: BaseAnalysisPipeline-class, MetaAnalysisPipeline-class, assessEngineSetUp, checkSchemaMatch, createPipelineInstance, exportAsMetaPipeline, generateOutput, genericPipelineException, getLoggerDetails, getOutputById, getPipelinePrototype, getPipeline, getRegistry, initDfBasedOnType, initialize,BaseAnalysisPipeline-method, loadMetaPipeline, loadPipeline, loadPredefinedFunctionRegistry, loadRegistry, prepExecution, registerFunction, savePipeline, saveRegistry, setInput, setLoggerDetails, updateObject, visualizePipeline
BaseAnalysisPipeline-class
MetaAnalysisPipeline-class
assessEngineSetUp
checkSchemaMatch
createPipelineInstance
exportAsMetaPipeline
generateOutput
genericPipelineException
getLoggerDetails
getOutputById
getPipelinePrototype
getPipeline
getRegistry
initDfBasedOnType
initialize,BaseAnalysisPipeline-method
loadMetaPipeline
loadPipeline
loadPredefinedFunctionRegistry
loadRegistry
prepExecution
registerFunction
savePipeline
saveRegistry
setInput
setLoggerDetails
updateObject
visualizePipeline
# NOT RUN { library(analysisPipelines) pipelineObj <- AnalysisPipeline(input = iris) pipelineObj %>>% getInput # }
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