Description Usage Arguments Details Value See Also Examples
Create a Pipeline object from a meta-pipeline
1 2 3 4 5 | createPipelineInstance(metaPipelineObj, newParams)
## S4 method for signature 'MetaAnalysisPipeline'
createPipelineInstance(metaPipelineObj,
newParams)
|
metaPipelineObj |
A |
newParams |
Either a nested named list containing all the functions in the pipeline, their arguments and
corresponding values (OR) an object of class |
This method instantiates a Pipeline object (both AnalysisPipeline and StreamingAnalysisPipeline) from
a meta-pipeline as well as an object containing the new set of values for the arguments of all the functions in the pipeline.
A Pipeline object
Other Package core functions: BaseAnalysisPipeline-class,
MetaAnalysisPipeline-class,
assessEngineSetUp,
checkSchemaMatch,
exportAsMetaPipeline,
generateOutput,
genericPipelineException,
getInput, getLoggerDetails,
getOutputById,
getPipelinePrototype,
getPipeline, getRegistry,
initDfBasedOnType,
initialize,BaseAnalysisPipeline-method,
loadMetaPipeline,
loadPipeline,
loadPredefinedFunctionRegistry,
loadRegistry, prepExecution,
registerFunction,
savePipeline, saveRegistry,
setInput, setLoggerDetails,
updateObject,
visualizePipeline
1 2 3 4 5 6 7 8 9 | ## Not run:
pipelineObj <- AnalysisPipeline(input = iris)
pipelineObj %>>% univarCatDistPlots(uniCol = "Species") -> pipelineObj
pipelineObj %>>% exportAsMetaPipeline -> exportedMetaPipeline
exportedMetaPipeline %>>%
createPipelineInstance(newParams = exportedMetaPipeline %>>%
getPipelinePrototype)
## End(Not run)
|
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