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AnalysisPipeline
StreamingAnalysisPipeline
Sets the input for an AnalysisPipeline or StreamingAnalysisPipeline object
setInput(object, input, filePath = "")# S4 method for BaseAnalysisPipeline setInput(object, input, filePath = "")
# S4 method for BaseAnalysisPipeline setInput(object, input, filePath = "")
object that contains input, pipeline, registry and output
the input data frame
path to the file which needs to be read (currently supports .csv files)
Updated AnalysisPipeline StreamingAnalysisPipeline object
Assigns the input to the pipeline for an 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, getInput, getLoggerDetails, getOutputById, getPipelinePrototype, getPipeline, getRegistry, initDfBasedOnType, initialize,BaseAnalysisPipeline-method, loadMetaPipeline, loadPipeline, loadPredefinedFunctionRegistry, loadRegistry, prepExecution, registerFunction, savePipeline, saveRegistry, setLoggerDetails, updateObject, visualizePipeline
BaseAnalysisPipeline-class
MetaAnalysisPipeline-class
assessEngineSetUp
checkSchemaMatch
createPipelineInstance
exportAsMetaPipeline
generateOutput
genericPipelineException
getInput
getLoggerDetails
getOutputById
getPipelinePrototype
getPipeline
getRegistry
initDfBasedOnType
initialize,BaseAnalysisPipeline-method
loadMetaPipeline
loadPipeline
loadPredefinedFunctionRegistry
loadRegistry
prepExecution
registerFunction
savePipeline
saveRegistry
setLoggerDetails
updateObject
visualizePipeline
# NOT RUN { library(analysisPipelines) pipelineObj <- AnalysisPipeline() pipelineObj %>>% setInput(input = iris) -> pipelineObj # }
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