initDfBasedOnType: initializes the 'AnalysisPipeline' object with the input...

In analysisPipelines: Compose Interoperable Analysis Pipelines & Put Them in Production

Description

initializes the AnalysisPipeline object with the input based on the provided type

Usage

initDfBasedOnType(input, filePath)

Arguments

input	Input dataframe
filePath	File path where the .csv file is stored

Details

Transforms provided inputs into R data frame regardless of the input provided, be it Spark DataFrames or Python data frames

Value

AnalysisPipeline object initialized with input

See Also

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

analysisPipelines documentation built on July 1, 2020, 7:09 p.m.