Question

我正在尝试重新创建以下示例https://github.com/dotnet/machinelearning/blob/master/docs/samples/Microsoft.ML.Samples/Dynamic/SsaSpikeDetectorTransform.cs 但我不断收到错误消息，即DataOperations不包含ReadFromEnumerable方法的定义。我还收到一个错误，指出CreateEnumerable方法不存在，但我怀疑它与ReadFromEnumerable错误有关。

我已经复制了整个命名空间和代码，以防万一我错过了一些东西，但是错误仍然发生。

从Enumerable方法读取

var ml = new MLContext();

//Generate sample series data with a recurring pattern and a spike within the pattern
  const int SeasonalitySize = 5;
  const int TrainingSeasons = 3;
  const int TrainingSize = SeasonalitySize * TrainingSeasons;
  var data = new List<SsaSpikeData>();
  for (int i = 0; i < TrainingSeasons; i++)
      for (int j = 0; j < SeasonalitySize; j++)
          data.Add(new SsaSpikeData(j));

//This is a spike
  data.Add(new SsaSpikeData(100));
  for (int i = 0; i < SeasonalitySize; i++)
      data.Add(new SsaSpikeData(i));

// Convert data to IDataView.
var dataView = ml.Data.ReadFromEnumerable(data); //This is where the error occurs

CreateEnumerable方法

var predictionColumn = ml.CreateEnumerable<SsaSpikePrediction>(transformedData, reuseRowObject: false);

Answer 1

就像dlatikay所说的，这是版本不匹配。我提供的示例来自仍处于预览状态的版本。对于ML.NET 0.9.0和更早版本，您需要使用CreateStreamingDataView。要使ReadFromEnumerable和CreateEnumerable正常运行，您可以从此处https://dotnet.myget.org/feed/dotnet-core/package/nuget/Microsoft.ML/0.11.0-preview-27404-5

下载ML.NET 0.10.0和0.11.0预览包。

为什么ReadFromEnumerable方法不起作用？ ML.NET

1 个答案: