AnalysisPipeline-class
                        Class for constructing Analysis Pipelines for
                        batch/ one-time analyeses
BaseAnalysisPipeline-class
                        Base class for 'AnalysisPipeline' and
                        'StreamingAnalysisPipeline' objects
CheckColumnType         Check for type of column
MetaAnalysisPipeline-class
                        Class for creating and working with
                        meta-pipelines
StreamingAnalysisPipeline-class
                        Class for constructing Analysis Pipelines for
                        streaming analyeses
analysisPipelines       analysisPipelines
assessEngineSetUp       Assesses engine (R, Spark, Python, Spark
                        Structured Streaming) set up
bivarPlots              Bi-Variate Plot
castKafkaStreamAsString
                        Connect to a Spark session
checkSchemaMatch        Checks the schema of the input to a Pipeline
                        object against the original
convertKafkaValueFromJson
                        Connect to a Spark session
correlationMatPlot      Correlation Matrix Plot
createPipelineInstance
                        Create a Pipeline object from a meta-pipeline
exportAsMetaPipeline    Method to export a meta-pipeline
generateOutput          Generate a list of outputs from Pipeline
                        objects
generateReport          Generate a HTML report from an
                        'AnalysisPipeline' object
genericPipelineException
                        Default exception for pipeline functions
getDatatype             Get Data Type
getFeaturesForPyClassification
                        Extracts selected columns from a data frame as
                        a Python array
getInput                Obtains the initializedInput
getLoggerDetails        Obtains the logger configuration for the
                        pipeline
getOutputById           Obtains a specific output
getPipeline             Obtain the pipeline
getPipelinePrototype    Obtain the prototype of the functions in the
                        pipeline
getRegistry             Obtains the function registry
getResponse             Obtains the response term from the formula
getTargetForPyClassification
                        Extracts selected column from a data frame a
                        binary class Python array
getTerm                 Obtains the dependency term from the formula
ignoreCols              Ignores the columns in the loaded dataframe
                        object
isDependencyParam       Checks if the parameter is the dependency
                        parameter
loadMetaPipeline        Load a meta-pipeline
loadPipeline            Loads the 'AnalysisPipeline' or
                        'StreamingAnalysisPipeline' object from the
                        file system
loadPredefinedFunctionRegistry
                        Loading the registry of predefined functions
loadRegistry            Loads a function registry from a file
multiVarOutlierPlot     Multi-Variate Outlier Plot
outlierPlot             Outlier detection plot
prepExecution           Prepare the pipleline for execution
registerFunction        Register a user-defined function to be used
                        with a 'AnalysisPipeline' or
                        'StreamingAnalysisPipeline' object
savePipeline            Saves the 'AnalysisPipeline' or
                        'StreamingAnalysisPipeline' object to the file
                        system without outputs
saveRegistry            Saves the registry to the file system
setInput                Sets the input for an 'AnalysisPipeline' or
                        'StreamingAnalysisPipeline' object
setLoggerDetails        Sets the logger configuration for the pipeline
setPythonEnvir          Sets the python environment to be used
sparkRSessionCreateIfNotPresent
                        Connect to a Spark session
univarCatDistPlots      Univariate Categoric Distribution
updateObject            Update the 'AnalysisPipeline' or
                        'StreamingAnalysisPipeline' object by adding an
                        operation to the pipeline
visualizePipeline       Visualizes the pipeline as a graph
