|
public Analyze ( EncogAnalyst theAnalyst, |
||
| theAnalyst | EncogAnalyst | The analyst to use. |
| inputFile | The input file. | |
| headers | bool | True if headers are present. |
| format | The format the file is in. | |
| return | void | |
/// <inheritdoc />
public override sealed bool ExecuteCommand(String args)
{
// get filenames
String evalID = Prop.GetPropertyString(
ScriptProperties.MlConfigEvalFile);
String resourceID = Prop.GetPropertyString(
ScriptProperties.MlConfigMachineLearningFile);
String outputID = Prop.GetPropertyString(
ScriptProperties.MlConfigOutputFile);
EncogLogging.Log(EncogLogging.LevelDebug, "Beginning evaluate raw");
EncogLogging.Log(EncogLogging.LevelDebug, "evaluate file:" + evalID);
EncogLogging.Log(EncogLogging.LevelDebug, "resource file:"
+ resourceID);
FileInfo evalFile = Script.ResolveFilename(evalID);
FileInfo resourceFile = Script.ResolveFilename(resourceID);
FileInfo outputFile = Analyst.Script.ResolveFilename(
outputID);
var m = (IMLMethod) EncogDirectoryPersistence.LoadObject(resourceFile);
if (!(m is IMLRegression))
{
throw new AnalystError("The evaluate raw command can only be used with regression.");
}
var method = (IMLRegression) m;
bool headers = Script.ExpectInputHeaders(evalID);
var eval = new AnalystEvaluateRawCSV {Script = Script};
Analyst.CurrentQuantTask = eval;
eval.Report = new AnalystReportBridge(Analyst);
eval.Analyze(Analyst, evalFile, headers, Prop
.GetPropertyCSVFormat(ScriptProperties.SetupConfigCSVFormat));
eval.Process(outputFile, method);
Analyst.CurrentQuantTask = null;
return eval.ShouldStop();
}
public override sealed bool ExecuteCommand(string args)
{
string str2;
string str3;
FileInfo info;
FileInfo info2;
FileInfo info3;
IMLRegression regression;
bool flag;
AnalystEvaluateRawCSV wcsv;
string propertyString = base.Prop.GetPropertyString("ML:CONFIG_evalFile");
goto Label_0169;
Label_0016:
wcsv.Process(info3, regression);
Label_0021:
base.Analyst.CurrentQuantTask = null;
if (((uint) flag) <= uint.MaxValue)
{
if ((((uint) flag) + ((uint) flag)) >= 0)
{
return wcsv.ShouldStop();
}
if ((((uint) flag) & 0) == 0)
{
goto Label_0169;
}
goto Label_010D;
}
Label_008D:
info3 = base.Analyst.Script.ResolveFilename(str3);
regression = (IMLRegression) EncogDirectoryPersistence.LoadObject(info2);
flag = base.Script.ExpectInputHeaders(propertyString);
wcsv = new AnalystEvaluateRawCSV {
Script = base.Script
};
if (0 != 0)
{
goto Label_0016;
}
base.Analyst.CurrentQuantTask = wcsv;
wcsv.Report = new AnalystReportBridge(base.Analyst);
wcsv.Analyze(base.Analyst, info, flag, base.Prop.GetPropertyCSVFormat("SETUP:CONFIG_csvFormat"));
if (-1 != 0)
{
goto Label_0016;
}
goto Label_008D;
Label_010D:
if ((((uint) flag) - ((uint) flag)) > uint.MaxValue)
{
goto Label_018B;
}
info2 = base.Script.ResolveFilename(str2);
goto Label_008D;
Label_0169:
str2 = base.Prop.GetPropertyString("ML:CONFIG_machineLearningFile");
str3 = base.Prop.GetPropertyString("ML:CONFIG_outputFile");
Label_018B:
EncogLogging.Log(0, "Beginning evaluate raw");
if (((uint) flag) > uint.MaxValue)
{
goto Label_0021;
}
EncogLogging.Log(0, "evaluate file:" + propertyString);
EncogLogging.Log(0, "resource file:" + str2);
info = base.Script.ResolveFilename(propertyString);
goto Label_010D;
}