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 DataOperations 没有的错误t 包含 ReadFromEnumerable 方法的定义。我还收到 CreateEnumerable 方法不存在的错误，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，以防我可能遗漏了什么，但错误仍然存在。
从 Enumerable 方法中读取
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);