我创建了一个简单的实验，指向我要检查的数据的csv文件。 CSV文件为70MB（约800,000行）。该实验仅包含以下任务： 1.获取数据 2.选择列（从数据中删除3列） 3.清除缺失数据（为丢失的数据值输入0值） 4.拆分数据（75％/ 25％） 5.线性回归算法 6.火车模型 7.分数模型
当我运行此时，Train Model获取并且内存不足异常。我目前只使用免费版本，但我查看了这个限制，似乎并不是限制它。
列车模型步骤在出错之前运行大约10秒钟。之前的所有步骤都需要不到1分钟的时间。
为什么我会出现内存不足异常。
错误日志 记录开始于UTC 04/27/2017 13:17:40：
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%22TotalInvoicedOrders%22%5D%2C%22exclude%22%3Afalse%7D%5D%2C%22ui%22%3A%7B%22withRules%22%3Atrue%7D%7D" /ContextFile "..\..\_context\ContextFile.txt""
[Start] Program::Main
[Start] DataLabModuleDescriptionParser::ParseModuleDescriptionString
[Stop] DataLabModuleDescriptionParser::ParseModuleDescriptionString. Duration = 00:00:00.0041511
[Start] DllModuleMethod::DllModuleMethod
[Stop] DllModuleMethod::DllModuleMethod. Duration = 00:00:00.0000326
[Start] DllModuleMethod::Execute
[Start] DataLabModuleBinder::BindModuleMethod
[Verbose] moduleMethodDescription Microsoft.Analytics.Modules.TrainGenericModel.Dll, Version=6.0.0.0, Culture=neutral, PublicKeyToken=69c3241e6f0468ca;Microsoft.Analytics.Modules.TrainGenericModel.Dll.TrainGenericModel;Run
[Verbose] assemblyFullName Microsoft.Analytics.Modules.TrainGenericModel.Dll, Version=6.0.0.0, Culture=neutral, PublicKeyToken=69c3241e6f0468ca
[Start] DataLabModuleBinder::LoadModuleAssembly
[Verbose] Loaded moduleAssembly Microsoft.Analytics.Modules.TrainGenericModel.Dll, Version=6.0.0.0, Culture=neutral, PublicKeyToken=69c3241e6f0468ca
[Stop] DataLabModuleBinder::LoadModuleAssembly. Duration = 00:00:00.0092214
[Verbose] moduleTypeName Microsoft.Analytics.Modules.TrainGenericModel.Dll.TrainGenericModel
[Verbose] moduleMethodName Run
[Information] Module FriendlyName : Train Model
[Information] Module Release Status : Release
[Stop] DataLabModuleBinder::BindModuleMethod. Duration = 00:00:00.0121124
[Start] ParameterArgumentBinder::InitializeParameterValues
[Verbose] parameterInfos count = 3
[Verbose] parameterInfos[0] name = learner , type = Microsoft.Analytics.MachineLearning.ILearner
[Start] CustomSerializationHandler::HandleArgumentString
[Start] DotNetSerializationHandler::HandleArgumentString
[Stop] DotNetSerializationHandler::HandleArgumentString. Duration = 00:00:00.0085176
[Stop] CustomSerializationHandler::HandleArgumentString. Duration = 00:00:00.0114152
[Verbose] parameterInfos[1] name = trainingData , type = Microsoft.Numerics.Data.Local.DataTable
[Start] DataTableDatasetHandler::HandleArgumentString
[Stop] DataTableDatasetHandler::HandleArgumentString. Duration = 00:00:02.8392062
[Verbose] parameterInfos[2] name = labelColumnIndexOrName , type = Microsoft.Analytics.Modules.Common.Dll.ColumnSelection
[Stop] ParameterArgumentBinder::InitializeParameterValues. Duration = 00:00:03.1559096
[Verbose] Begin invoking method Run ...
[ModuleOutput] LearnerDetails
[ModuleOutput]
[ModuleOutput] {
[ModuleOutput] "InputName":Untrained model
[ModuleOutput] "LearnerKind":Microsoft.Analytics.MachineLearning.Local.BatchLinearRegressor
[ModuleOutput] }
[ModuleOutput] InputDataStructure
[ModuleOutput]
[ModuleOutput] {
[ModuleOutput] "InputName":Dataset
[ModuleOutput] "Rows":621312
[ModuleOutput] "Cols":16
[ModuleOutput] "ColumnTypes":System.String,12,System.Int32,4
[ModuleOutput] }
[Stop] DllModuleMethod::Execute. Duration = 00:00:06.7340783
[Critical] Error: Error 0138: Memory has been exhausted, unable to complete running of module.
[Critical] {"InputParameters":{"DataTable":[{"Rows":621312,"Columns":16,"estimatedSize":364380160,"ColumnTypes":{"System.String":12,"System.Int32":4},"IsComplete":true,"Statistics":{"0":[36,0],"1":[3,0],"2":[8,0],"3":[6.3737912675113311,6.0,0.0,12.0,3.6860947075263715,13.0,0.0],"4":[608.87559390451179,312.0,0.0,2057.0,629.92222860055733,210.0,0.0],"5":[63210657.808690317,87803073.0,0.0,99429245.0,40023846.6134889,2314.0,0.0],"6":[11.006466960238978,8.0,0.0,35.0,8.3750399881698172,25.0,0.0],"7":[15630,0],"8":[34078,0],"9":[6912,0],"10":[7132,0],"11":[12459,0],"12":[17,0],"13":[2693,0],"14":[4481,0],"15":[4481,0]}}],"Learner":[{"LearnerKind":"learner","LearnerSettings":{"name":"BatchLinearRegressor","isTrained":false,"settings":[["Bias","True"],["Regularization","0.001"],["AllowUnknownLevels","True"],["RandomNumberSeed",""]],"weights":[]}}],"Generic":{"labelColumnIndexOrName":"{\"isFilter\":true,\"rules\":[{\"ruleType\":\"ColumnNames\",\"columns\":[\"TotalInvoicedOrders\"],\"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 0138: Memory has been exhausted, unable to complete running of module.","Warnings":[],"Duration":"00:00:06.7274218"}
Module finished after a runtime of 00:00:07.2184726 with exit code -2
Module failed due to negative exit code of -2
Record Ends at UTC 04/27/2017 13:17:48.