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  1. Record Starts at UTC 04/18/2019 21:27:55:
  2.  
  3. Run the job:"/dll "Microsoft.Analytics.Modules.TrainGenericModel.Dll, Version=6.0.0.0, Culture=neutral, PublicKeyToken=69c3241e6f0468ca;Microsoft.Analytics.Modules.TrainGenericModel.Dll.TrainGenericModel;Run" /Output0 "..\..\Trained model\Trained model.ilearner" /learner "..\..\Untrained model\Untrained model.ilearner" /trainingData "..\..\Dataset\Dataset.dataset" /labelColumnIndexOrName "%7B%22isFilter%22%3Atrue%2C%22rules%22%3A%5B%7B%22ruleType%22%3A%22ColumnNames%22%2C%22columns%22%3A%5B%22Result%22%5D%2C%22exclude%22%3Afalse%7D%5D%2C%22ui%22%3A%7B%22withRules%22%3Atrue%7D%7D" /ContextFile "..\..\_context\ContextFile.txt""
  4. [Start] Program::Main
  5. [Start] DataLabModuleDescriptionParser::ParseModuleDescriptionString
  6. [Stop] DataLabModuleDescriptionParser::ParseModuleDescriptionString. Duration = 00:00:00.0029320
  7. [Start] DllModuleMethod::DllModuleMethod
  8. [Stop] DllModuleMethod::DllModuleMethod. Duration = 00:00:00.0000242
  9. [Start] DllModuleMethod::Execute
  10. [Start] DataLabModuleBinder::BindModuleMethod
  11. [Verbose] moduleMethodDescription Microsoft.Analytics.Modules.TrainGenericModel.Dll, Version=6.0.0.0, Culture=neutral, PublicKeyToken=69c3241e6f0468ca;Microsoft.Analytics.Modules.TrainGenericModel.Dll.TrainGenericModel;Run
  12. [Verbose] assemblyFullName Microsoft.Analytics.Modules.TrainGenericModel.Dll, Version=6.0.0.0, Culture=neutral, PublicKeyToken=69c3241e6f0468ca
  13. [Start] DataLabModuleBinder::LoadModuleAssembly
  14. [Verbose] Loaded moduleAssembly Microsoft.Analytics.Modules.TrainGenericModel.Dll, Version=6.0.0.0, Culture=neutral, PublicKeyToken=69c3241e6f0468ca
  15. [Stop] DataLabModuleBinder::LoadModuleAssembly. Duration = 00:00:00.0079209
  16. [Verbose] moduleTypeName Microsoft.Analytics.Modules.TrainGenericModel.Dll.TrainGenericModel
  17. [Verbose] moduleMethodName Run
  18. [Information] Module FriendlyName : Train Model
  19. [Information] Module Release Status : Release
  20. [Stop] DataLabModuleBinder::BindModuleMethod. Duration = 00:00:00.0095642
  21. [Start] ParameterArgumentBinder::InitializeParameterValues
  22. [Verbose] parameterInfos count = 3
  23. [Verbose] parameterInfos[0] name = learner , type = Microsoft.Analytics.MachineLearning.ILearner
  24. [Start] CustomSerializationHandler::HandleArgumentString
  25. [Start] DotNetSerializationHandler::HandleArgumentString
  26. [Verbose] Enable type check at deserialization: True
  27. [Stop] DotNetSerializationHandler::HandleArgumentString. Duration = 00:00:00.0586152
  28. [Stop] CustomSerializationHandler::HandleArgumentString. Duration = 00:00:00.0600710
  29. [Verbose] parameterInfos[1] name = trainingData , type = Microsoft.Numerics.Data.Local.DataTable
  30. [Start] DataTableDatasetHandler::HandleArgumentString
  31. [Stop] DataTableDatasetHandler::HandleArgumentString. Duration = 00:00:00.3404179
  32. [Verbose] parameterInfos[2] name = labelColumnIndexOrName , type = Microsoft.Analytics.Modules.Common.Dll.ColumnSelection
  33. [Stop] ParameterArgumentBinder::InitializeParameterValues. Duration = 00:00:00.5290247
  34. [Verbose] Begin invoking method Run ...
  35. [ModuleOutput] Using: AVX Math
  36. [ModuleOutput] Loading net from: W:\Temp\tmp2EAC.tmp
  37. [ModuleOutput]
  38. [ModuleOutput] ***** Net definition *****
  39. [ModuleOutput] input Picture [28, 28];
  40. [ModuleOutput] hidden H1 [100] from Picture all;
  41. [ModuleOutput] hidden H2 [50] from H1 all;
  42. [ModuleOutput] output Result [10] softmax from H2 all;
  43. [ModuleOutput] ***** Reduced *****
  44. [ModuleOutput] input Picture [28, 28];
  45. [ModuleOutput] hidden H1 100 from Picture all;
  46. [ModuleOutput] hidden H2 50 from H1 all;
  47. [ModuleOutput] output Result 10 softmax from H2 all;
  48. [ModuleOutput] ***** End net definition *****
  49. [Stop] DllModuleMethod::Execute. Duration = 00:00:01.2858045
  50. [Critical] Error: Error 1000: TLC library exception: Exception of type 'Microsoft.Numerics.AFxLibraryException' was thrown.
  51. [Critical] {"InputParameters":{"DataTable":[{"Rows":10922,"Columns":36,"estimatedSize":15781888,"ColumnTypes":{"System.Double":29,"System.Int32":5,"System.Int64":2},"IsComplete":true,"Statistics":{"31":[0.72231135463980889,0.465384615,0.0,7.757692308,0.88929002512635158,1148.0,0.0],"0":[66.182727522431946,51.0,0.12,374.95,71.1985911004934,3192.0,0.0],"32":[0.6576918146859545,0.0,0.0,36.15,1.6722964331643977,269.0,0.0],"1":[67.174395715070588,52.0,0.13,375.0,72.17818029127902,3314.0,0.0],"33":[0.65013661809888379,0.387142857,0.0,7.667857143,0.81650052875471524,1129.0,0.0],"2":[65.050804797656127,50.0,0.11,363.0,70.075699410911284,3181.0,0.0],"34":[2.2147958249404871,2.0,1.0,4.0,1.141651718815073,4.0,0.0],"3":[66.142123237502346,50.925,0.12,369.7,71.180087647642182,3671.0,0.0],"35":[0.18595495330525544,0.0,0.0,1.0,0.38908812577816082,2.0,0.0],"4":[1016156.5579564183,244725.0,1.0,411041792.0,4287369.9872306529,10646.0,0.0],"5":[1013452.7382667955,253716.925,0.0,26485017.65,1800788.0968147847,10835.0,0.0],"6":[0.072595678447170575,0.0,-36.15,51.2,2.6856139534183354,568.0,0.0],"7":[0.0016421161389855944,0.0,-0.282178218,1.251082251,0.039495732364604914,7339.0,0.0],"8":[65.148263255450928,49.41730221,0.0,347.6972741,70.20710011854635,10843.0,0.0],"9":[65.608252151620775,50.6,0.0,351.85,70.6081171074797,4263.0,0.0],"10":[64.93133812488567,49.975,0.0,343.025,69.9231238025083,3288.0,0.0],"11":[65.269795138252988,49.50625,0.0,346.2375,70.20036109811555,5810.0,0.0],"12":[64.026678264054453,47.575,0.0,333.0,69.080609273692019,2589.0,0.0],"13":[64.0032429957884,48.25,0.0,346.1,69.013062969469132,3605.0,0.0],"14":[0.48132210217908805,0.0,0.0,1.0,0.49967388951724373,2.0,0.0],"15":[66.098690715986251,51.0,0.0,374.95,71.109902795891884,3191.0,0.0],"16":[67.0891274491852,52.0,0.0,375.0,72.089450428533908,3312.0,0.0],"17":[64.968283281450312,49.975,0.0,363.0,69.989700141623985,3180.0,0.0],"18":[66.057852957333878,50.64,0.0,369.7,71.091177986097179,3670.0,0.0],"19":[1015880.2694561436,244364.0,0.0,411041792.0,4287369.8148809625,10643.0,0.0],"20":[1013307.4380562115,253421.8,0.0,26485017.65,1800834.118170605,10831.0,0.0],"21":[0.48123054385643654,0.0,0.0,1.0,0.49967045833670709,2.0,0.0],"22":[66.203375755356319,51.0,0.0,374.95,71.25491243208586,3193.0,0.0],"23":[67.195181285478924,52.0,0.0,375.0,72.234298530255842,3316.0,0.0],"24":[65.071048342794384,50.0,0.0,363.0,70.131013361402324,3182.0,0.0],"25":[66.1627229445157,50.925,0.0,369.7,71.236270424884211,3672.0,0.0],"26":[1016109.5861563816,244508.0,0.0,411041792.0,4287379.1096979612,10645.0,0.0],"27":[1013459.0683894837,253716.925,0.0,26485017.65,1800784.6555166175,10836.0,0.0],"28":[52.194435888441468,52.402348525,0.0,98.53603604,18.784396138039156,7419.0,0.0],"29":[1.7171460888304348,1.100943998,0.0,67.30769231,2.6330429323316507,7419.0,0.0],"30":[0.73028749313312724,0.0,0.0,51.2,1.8588304854098081,300.0,0.0]}}],"Learner":[{"LearnerKind":"learner","LearnerSettings":{"name":"NeuralNetworkMulticlassClassifier","isTrained":false,"settings":[["IsInitializedFromString","True"],["IsClassification","False"],["InitialWeightsDiameter","0.1"],["LearningRate","0.1"],["LossFunction","CrossEntropy"],["Momentum","0"],["NeuralNetworkDefinition","input Picture [28,28];\nhidden H1 [100] from Picture all;\nhidden H2 [50] from H1 all;\noutput Result [10] softmax from H2 all;"],["DataNormalizerType","MinMax"],["NumberOfInputFeatures",""],["NumberOfHiddenNodes",""],["NumberOfIterations","30"],["NumberOfOutputClasses",""],["Shuffle","True"],["AllowUnknownLevels","True"],["RandomNumberSeed","1"]],"weights":[]}}],"Generic":{"labelColumnIndexOrName":"{\"isFilter\":true,\"rules\":[{\"ruleType\":\"ColumnNames\",\"columns\":[\"Result\"],\"exclude\":false}],\"ui\":{\"withRules\":true}}"}},"OutputParameters":[],"ModuleType":"Microsoft.Analytics.Modules.TrainGenericModel.Dll","ModuleVersion":" Version=6.0.0.0","AdditionalModuleInfo":"Microsoft.Analytics.Modules.TrainGenericModel.Dll, Version=6.0.0.0, Culture=neutral, PublicKeyToken=69c3241e6f0468ca;Microsoft.Analytics.Modules.TrainGenericModel.Dll.TrainGenericModel;Run","Errors":"Microsoft.Analytics.Exceptions.ErrorMapping+ModuleException: Error 1000: TLC library exception: Exception of type 'Microsoft.Numerics.AFxLibraryException' was thrown. ---> Microsoft.Numerics.AFxLibraryException: Exception of type 'Microsoft.Numerics.AFxLibraryException' was thrown.\r\n at Microsoft.Analytics.MachineLearning.Local.TlcUtils.HandleTlcException(Exception exception, DataTable dataTable)\r\n at Microsoft.Analytics.MachineLearning.Local.MulticlassClassifierBase.Train(DataTable instanceSource)\r\n at System.Dynamic.UpdateDelegates.UpdateAndExecuteVoid2[T0,T1](CallSite site, T0 arg0, T1 arg1)\r\n at Microsoft.Analytics.Modules.TrainGenericModel.Dll.TrainGenericModel.RunImpl(ILearner learner, DataTable trainingData, ColumnSelection labelColumnIndexOrName) in m:\\AzureMLVS15-004\\_work\\117\\s\\Product\\Source\\Modules\\TrainGenericModel.Dll\\TrainGenericModel.cs:line 53\r\n --- End of inner exception stack trace ---","Warnings":[],"Duration":"00:00:01.2814426"}
  52. Module finished after a runtime of 00:00:01.6250356 with exit code -2
  53. Module failed due to negative exit code of -2
  54.  
  55. Record Ends at UTC 04/18/2019 21:27:58.
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