/// <summary>
/// Analyze the data. This counts the records and prepares the data to be
/// processed.
/// </summary>
/// <param name="theAnalyst">The analyst to use.</param>
/// <param name="inputFile">The input file.</param>
/// <param name="headers">True if headers are present.</param>
/// <param name="format">The format the file is in.</param>
public void Analyze(EncogAnalyst theAnalyst,
FileInfo inputFile, bool headers, CSVFormat format)
{
InputFilename = inputFile;
ExpectInputHeaders = headers;
Format = format;
_analyst = theAnalyst;
Analyzed = true;
PerformBasicCounts();
_inputCount = _analyst.DetermineInputCount();
_outputCount = _analyst.DetermineOutputCount();
_idealCount = InputHeadings.Length - _inputCount;
if ((InputHeadings.Length != _inputCount) &&
(InputHeadings.Length != (_inputCount + _outputCount)))
{
throw new AnalystError("Invalid number of columns("
+ InputHeadings.Length + "), must match input("
+ _inputCount + ") count or input+output("
+ (_inputCount + _outputCount) + ") count.");
}
}
/// <summary>
/// Analyze the data. This counts the records and prepares the data to be
/// processed.
/// </summary>
/// <param name="theAnalyst">The analyst to use.</param>
/// <param name="inputFile">The input file.</param>
/// <param name="headers">True if headers are present.</param>
/// <param name="format">The format the file is in.</param>
public void Analyze(EncogAnalyst theAnalyst,
FileInfo inputFile, bool headers, CSVFormat format)
{
InputFilename = inputFile;
ExpectInputHeaders = headers;
Format = format;
_analyst = theAnalyst;
Analyzed = true;
PerformBasicCounts();
_inputCount = _analyst.DetermineInputCount();
_outputCount = _analyst.DetermineOutputCount();
_idealCount = InputHeadings.Length - _inputCount;
if ((InputHeadings.Length != _inputCount)
&& (InputHeadings.Length != (_inputCount + _outputCount)))
{
throw new AnalystError("Invalid number of columns("
+ InputHeadings.Length + "), must match input("
+ _inputCount + ") count or input+output("
+ (_inputCount + _outputCount) + ") count.");
}
}
/// <summary>
/// Construct the time-series utility.
/// </summary>
/// <param name="theAnalyst">The analyst to use.</param>
/// <param name="includeOutput">Should output fields be included.</param>
/// <param name="headings">The column headings.</param>
public TimeSeriesUtil(EncogAnalyst theAnalyst, bool includeOutput,
IEnumerable <string> headings)
{
_buffer = new List <double[]>();
_headingMap = new Dictionary <String, Int32>();
_analyst = theAnalyst;
_lagDepth = _analyst.LagDepth;
_leadDepth = _analyst.LeadDepth;
_totalDepth = _lagDepth + _leadDepth + 1;
_inputSize = includeOutput ? _analyst.DetermineTotalColumns() : _analyst.DetermineTotalInputFieldCount();
_outputSize = _analyst.DetermineInputCount()
+ _analyst.DetermineOutputCount();
int headingIndex = 0;
foreach (String column in headings)
{
_headingMap[column.ToUpper()] = headingIndex++;
}
}
/// <summary>
/// Construct the time-series utility.
/// </summary>
/// <param name="theAnalyst">The analyst to use.</param>
/// <param name="includeOutput">Should output fields be included.</param>
/// <param name="headings">The column headings.</param>
public TimeSeriesUtil(EncogAnalyst theAnalyst, bool includeOutput,
IEnumerable<string> headings)
{
_buffer = new List<double[]>();
_headingMap = new Dictionary<String, Int32>();
_analyst = theAnalyst;
_lagDepth = _analyst.LagDepth;
_leadDepth = _analyst.LeadDepth;
_totalDepth = _lagDepth + _leadDepth + 1;
_inputSize = includeOutput ? _analyst.DetermineTotalColumns() : _analyst.DetermineTotalInputFieldCount();
_outputSize = _analyst.DetermineInputCount()
+ _analyst.DetermineOutputCount();
int headingIndex = 0;
foreach (String column in headings)
{
_headingMap[column.ToUpper()] = headingIndex++;
}
}
