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

Description Usage Arguments Details Value See Also

View source: R/core-functions.R

Description

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

Usage

1
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.