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MLContext不了解我的体温类型

ml.net .net-core asp.net-core c#

thelittlewozniak · 技术社区 · 6 年前

我是ml.net的初学者,我的数据有点问题。当我将它们放入mlcontext.fit(…);这是我收到的错误:

Column 'Temperature' has values of I4which is not the same as earlier observed type of R4.

以下是我的代码:

try
            {
                var mlContext = new MLContext();
                var reader = mlContext.Data.CreateTextReader<TrainData>(separatorChar: ',', hasHeader: false);
                var trainData = _context.Datas.Last();
                IDataView trainingdataView = reader.Read(Path.Combine(hostingEnvironment.WebRootPath, "data010220192341.txt"));
                var pipeline = mlContext.Transforms.Conversion.MapValueToKey("Delay")
                    .Append(mlContext.Transforms.Categorical.OneHotEncoding("StationDepart"))
                    .Append(mlContext.Transforms.Categorical.OneHotEncoding("StationArrival"))
                    .Append(mlContext.Transforms.Categorical.OneHotEncoding("Day"))
                    .Append(mlContext.Transforms.Categorical.OneHotEncoding("Train"))
                    .Append(mlContext.Transforms.Categorical.OneHotEncoding("WeatherText"))
                    .Append(mlContext.Transforms.Categorical.OneHotEncoding("HasPrecipitation"))
                    .Append(mlContext.Transforms.Categorical.OneHotEncoding("PrecipitationType"))
                    .Append(mlContext.Transforms.Concatenate("Features", "StationDepart", "StationArrival", "Day", "Train", "WeatherText", "Temperature", "Humidity", "HasPrecipitation", "PrecipitationType", "Time"))
                    .Append(mlContext.MulticlassClassification.Trainers.StochasticDualCoordinateAscent(labelColumn: "Delay", featureColumn: "Features"))
                    .Append(mlContext.Transforms.Conversion.MapKeyToValue("PredictedTime"));
                var model = pipeline.Fit(trainingdataView);
                var prediction = model.CreatePredictionEngine<TrainData, TrainPrediction>(mlContext).Predict(
                    new TrainData()
                    {
                        StationDepart = "Charleroi-Sud",
                        StationArrival = "Mons",
                        Day = "Friday",
                        Train = "BE.NMBS.IC3825",
                        WeatherText = "Partly cloudy",
                        Temperature = -1,
                        Humidity=0,
                        HasPrecipitation = false,
                        PrecipitationType=null,
                        Time=0444
                    });
                return prediction.PredictedTime.ToString();
            }
            catch (Exception e)
            {
                return e.Message;
            }

所以当我得到一个文本文件上的数据之后,我对字符串列进行编码,在我尝试训练模型之后,但此时我收到了错误。我的数据是:

Charleroi Sud,Mons,Thurday,Be.NMBS.IC3831,部分晴天,-2,0,假,,1044,0 Charleroi Sud,Mons,Thurday,Be.nmbs.ic932,多云,-2,0,假,,1112,0 Charleroi Sud,Mons,Thurday,be.nmbs.ic3832,多云,-1,0,假,,1144,0 Charleroi Sud,Mons,Thurday,Be.nmbs.ic933,多云,-1,0,假,,1212,0 Charleroi Sud,Mons,Thurday,be.nmbs.ic3842,多云,-1,0,假,,2144,0 Charleroi Sud,Mons,Thurday,Be.nmbs.ic943,多云,-1,0,假,,2212,0 Charleroi Sud,Mons,Thurday,Be.nmbs.ic3843,多云,-1,0,假,,2247,0 Charleroi Sud,Mons,Friday,Be.nmbs.ic3825,部分多云,-1,0,假,,0444,0 Charleroi Sud,Mons,Friday,Be.nmbs.ic3826,多云,-1,0,假,,0544,0 Charleroi Sud,Mons,Friday,Be.nmbs.ic927,多云,-1,0,假,,0612,0

如你所见,数据之间的每一个“,”和温度是一个整数。在特兰达达,就像这样:

public class TrainData
    {
        [LoadColumn(0)]
        public string StationDepart { get; set; }
        [LoadColumn(1)]
        public string StationArrival { get; set; }
        [LoadColumn(2)]
        public string Day { get; set; }
        [LoadColumn(3)]
        public string Train { get; set; }
        [LoadColumn(4)]
        public string WeatherText { get; set; }
        [LoadColumn(5)]
        public int Temperature { get; set; }
        [LoadColumn(6)]
        public int Humidity { get; set; }
        [LoadColumn(7)]
        public bool HasPrecipitation { get; set; }
        [LoadColumn(8)]
        public string PrecipitationType { get; set; }
        [LoadColumn(9)]
        public int Time { get; set; }
        [LoadColumn(10)]
        public int Delay { get; set; }
    }

1 回复 | 直到 6 年前

thelittlewozniak 6 年前

问题是时间、延迟和温度都需要浮动,而不是int。

public class TrainData
    {
        [LoadColumn(0)]
        public string StationDepart { get; set; }
        [LoadColumn(1)]
        public string StationArrival { get; set; }
        [LoadColumn(2)]
        public string Day { get; set; }
        [LoadColumn(3)]
        public string Train { get; set; }
        [LoadColumn(4)]
        public string WeatherText { get; set; }
        [LoadColumn(5)]
        public float Temperature { get; set; }
        [LoadColumn(6)]
        public float Humidity { get; set; }
        [LoadColumn(7)]
        public bool HasPrecipitation { get; set; }
        [LoadColumn(8)]
        public string PrecipitationType { get; set; }
        [LoadColumn(9)]
        public float Time { get; set; }
        [LoadColumn(10)]
        public float Delay { get; set; }
    }