Description Usage Arguments Details Value See Also
View source: R/core-functions.R
initializes the AnalysisPipeline
object with the input based on the provided type
1 | initDfBasedOnType(input, filePath)
|
input |
Input dataframe |
filePath |
File path where the .csv file is stored |
Transforms provided inputs into R data frame regardless of the input provided, be it Spark DataFrames or Python data frames
AnalysisPipeline
object initialized with input
Other Package core functions: BaseAnalysisPipeline-class
,
MetaAnalysisPipeline-class
,
assessEngineSetUp
,
checkSchemaMatch
,
createPipelineInstance
,
exportAsMetaPipeline
,
generateOutput
,
genericPipelineException
,
getInput
, getLoggerDetails
,
getOutputById
,
getPipelinePrototype
,
getPipeline
, getRegistry
,
initialize,BaseAnalysisPipeline-method
,
loadMetaPipeline
,
loadPipeline
,
loadPredefinedFunctionRegistry
,
loadRegistry
, prepExecution
,
registerFunction
,
savePipeline
, saveRegistry
,
setInput
, setLoggerDetails
,
updateObject
,
visualizePipeline
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