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. | |
리턴 | 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; }