public static ReturnResult <ModelField> InsertUpdate(IDatabase db, ModelField modelField)
{
var results = new ReturnResult <ModelField>();
try
{
if (modelField.ModelFieldId == 0)
{
db.Insert(modelField);
}
else
{
db.Update(modelField);
}
results.Success = true;
results.Item = modelField;
}
catch (Exception e)
{
results.Success = false;
results.ErrorMessage = "There was an error saving the model.";
results.Exception = e;
}
return(results);
}
public static ReturnResult <dynamic> PredictModel(IDatabase db, PredictionInput input)
{
var results = new ReturnResult <dynamic>();
var fileName = Guid.NewGuid().ToString();
try
{
var model = GetModelById(db, input.ModelId);
var modelInfo = ModelField.GetFieldsByModelId(db, model.Item.ModelId);
var modelFile = FileStore.GetById(db, model.Item.FileStoreId.Value);
MLContext mlContext = new MLContext();
DataViewSchema predictionPipelineSchema;
IDataView LoadedData = null;
var columnData = new List <TextLoader.Column>();
var curItem = 0;
foreach (var c in modelInfo.Item)
{
var newColData = new TextLoader.Column()
{
DataKind = (DataKind)c.DataTypeId,
Name = c.Name,
Source = new TextLoader.Range[] { new TextLoader.Range(curItem) }
};
columnData.Add(newColData);
curItem++;
}
File.WriteAllText(Path.GetTempPath() + fileName, input.CsvData);
LoadedData = mlContext.Data.LoadFromTextFile(
Path.GetTempPath() + fileName,
columnData.ToArray(),
separatorChar: ',',
hasHeader: false,
allowQuoting: true
);
var outputColumn = modelInfo.Item.Single(x => x.IsOutput == true);
using (MemoryStream ms = new MemoryStream(modelFile.Item.Data))
{
var predictionPipeline = mlContext.Model.Load(ms, out predictionPipelineSchema);
IDataView predictions = predictionPipeline.Transform(LoadedData);
if ((DataKind)outputColumn.DataTypeId == DataKind.Single)
{
var hasLabel = predictions.Schema.GetColumnOrNull("PredictedLabel");
Single[] predictionOut = null;
if (hasLabel == null)
{
predictionOut = predictions.GetColumn <Single>("Score").ToArray();
}
else
{
predictionOut = predictions.GetColumn <Single>("PredictedLabel").ToArray();
}
results.Item = predictionOut[0];
}
else if ((DataKind)outputColumn.DataTypeId == DataKind.String)
{
var predictionOut = predictions.GetColumn <String>("PredictedLabel").ToArray();
results.Item = predictionOut[0];
}
else if ((DataKind)outputColumn.DataTypeId == DataKind.Boolean)
{
var predictionOut = predictions.GetColumn <Boolean>("PredictedLabel").ToArray();
results.Item = predictionOut[0];
}
};
results.Success = true;
}
catch (Exception e)
{
results.Success = false;
}
//Delete the prediction file
try
{
if (File.Exists(Path.GetTempPath() + fileName))
{
File.Delete(Path.GetTempPath() + fileName);
}
}
catch (Exception e) {}
return(results);
}