System.InvalidOperationException :异步操作尚未完成

Question

安装管道会导致Ml.net中的异常。Fit不是一个可信赖的，我很困惑为什么会发生这种情况。任何帮助都是值得赞赏的。

var model = pipeline.Fit(dataView);

堆栈跟踪

在System.Threading.Channels.AsyncOperation.ThrowIncompleteOperationException() at System.Threading.Channels.AsyncOperation1.GetResult(Int16 token) at Microsoft.ML.Transforms.RowShufflingTransformer.Cursor.MoveNextCore() at Microsoft.ML.Data.RootCursorBase.MoveNext() at Microsoft.ML.Trainers.TrainingCursorBase.MoveNext() at Microsoft.ML.Trainers.SdcaTrainerBase3.TrainCore(IChannel ch，RoleMappedData data，LinearModelParameters predictor，Int32 weightSetCount at Microsoft.ML.Trainers.StochasticTrainerBase2.TrainModelCore(TrainContext context) at Microsoft.ML.Trainers.TrainerEstimatorBase2.TrainTransformer(IDataView trainSet，IDataView validationSet，在Microsoft.ML.Trainers.TrainerEstimatorBase2.Fit(IDataView input) at Microsoft.ML.Data.EstimatorChain1.Fit(IDataView输入)在D:\Sources\code-everything\CodeItHere\ML.DetectFakeJobPosts\Program.cs:line 75的ML.DetectFakeJobPosts.Analyzer.Train() at ML.DetectFakeJobPosts.Program.Main(String[] args)在D:\Sources\code-everything\CodeItHere\ML.DetectFakeJobPosts\Program.cs:line 13中

管道

    var pipeline = _context.Transforms.Categorical.OneHotEncoding("ec_title", "title")
        .Append(_context.Transforms.Categorical.OneHotEncoding("ec_location", "location"))
        .Append(_context.Transforms.Categorical.OneHotEncoding("ec_department", "department"))
        .Append(_context.Transforms.Categorical.OneHotEncoding("ec_salary_range", "salary_range"))
        .Append(_context.Transforms.Text.FeaturizeText("ec_company_profile", "company_profile"))
        .Append(_context.Transforms.Text.FeaturizeText("ec_description", "description"))
        .Append(_context.Transforms.Text.FeaturizeText("ec_requirements", "requirements"))
        .Append(_context.Transforms.Text.FeaturizeText("ec_benefits", "benefits"))
        .Append(_context.Transforms.Categorical.OneHotEncoding("ec_employment_type", "employment_type"))
        .Append(_context.Transforms.Categorical.OneHotEncoding("ec_required_experience", "required_experience"))
        .Append(_context.Transforms.Categorical.OneHotEncoding("ec_required_education", "required_education"))
        .Append(_context.Transforms.Categorical.OneHotEncoding("ec_industry", "industry"))
        .Append(_context.Transforms.Categorical.OneHotEncoding("ec_function", "function"))

        //drop unnecessary columns from view
        .Append(_context.Transforms.DropColumns("title", "location", "department", "salary_range", "company_profile", "description", "requirements", "benefits", "employment_type", "required_experience", "required_education", "industry", "function", "telecommuting", "has_company_logo", "has_questions"))

        //concate features
        .Append(_context.Transforms.Concatenate("Features", "ec_title", "ec_location", "ec_department", "ec_salary_range", "ec_company_profile", "ec_description", "ec_requirements", "ec_benefits", "ec_employment_type", "ec_required_experience", "ec_required_education", "ec_industry", "ec_function"))
        //set label/prediction column
        .Append(_context.Transforms.Conversion.ConvertType("Label", "fraudulent", DataKind.Boolean))
        //select a trainer
        .Append(_context.BinaryClassification.Trainers.SdcaLogisticRegression());

点击这里获取数据集

版本

Ml.net : 1.5.1 核心: 3.1

Answer 1

这方面的问题来自于我做的更新部分代码以使用频道。结果是，在检查导致错误的异步调用的结果之前，并不总是保证完成异步调用。

目前在每日NuGet饲料中有一个修复方法，可以在1.5.2版本正式发布之前获得最新的每日构建。