org.encog.app.analyst.csv

Class AnalystEvaluateRawCSV

java.lang.Object

org.encog.app.analyst.csv.basic.BasicFile

org.encog.app.analyst.csv.AnalystEvaluateRawCSV

All Implemented Interfaces:

QuantTask

public class AnalystEvaluateRawCSV
extends BasicFile

Used by the analyst to evaluate a CSV file.

Field Summary

Fields inherited from class org.encog.app.analyst.csv.basic.BasicFile

REPORT_INTERVAL

Constructor Summary

Constructors

Constructor and Description
AnalystEvaluateRawCSV()

Method Summary

Methods

Modifier and Type	Method and Description
void	analyze(EncogAnalyst theAnalyst, File inputFile, boolean headers, CSVFormat format) Analyze the data.
void	process(File outputFile, MLRegression method) Process the file.

Methods inherited from class org.encog.app.analyst.csv.basic.BasicFile

appendSeparator, getColumnCount, getFormat, getInputFilename, getInputHeadings, getPrecision, getRecordCount, getReport, getReportInterval, getScript, isAnalyzed, isExpectInputHeaders, isProduceOutputHeaders, performBasicCounts, prepareOutputFile, readHeaders, reportDone, reportDone, requestStop, resetStatus, setAnalyzed, setColumnCount, setExpectInputHeaders, setInputFilename, setInputFormat, setInputHeadings, setPrecision, setProduceOutputHeaders, setRecordCount, setReport, setReportInterval, setScript, shouldStop, toString, updateStatus, updateStatus, validateAnalyzed, writeRow

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

AnalystEvaluateRawCSV

public AnalystEvaluateRawCSV()

Method Detail

analyze

public void analyze(EncogAnalyst theAnalyst,
           File inputFile,
           boolean headers,
           CSVFormat format)

Analyze the data. This counts the records and prepares the data to be processed.

Parameters:

theAnalyst - The analyst to use.

inputFile - The input file.

headers - True if headers are present.

format - The format the file is in.

process

public void process(File outputFile,
           MLRegression method)

Process the file.

Parameters:

outputFile - The output file.

method - The method to use.