List <Example_106_Data> GenerateExampleData(int nbItems, int nbObservationsInItem, int nbStepsAhead)
{
List <Example_106_Data> rv = new List <Example_106_Data>();
List <double> dataSeries = GenerateDataSeries(nbItems + nbObservationsInItem + nbStepsAhead).ToList();
for (int i = 0; i < nbItems; i++)
{
Example_106_Data data = new Example_106_Data();
data.Observations = dataSeries.Skip(i).Take(nbObservationsInItem).ToList();
data.ExpectedPrediction = dataSeries[i + nbObservationsInItem + (nbStepsAhead - 1)];
rv.Add(data);
}
return(rv);
}
private double Evaluate(Function model, Example_106_Data data, Variable input, DeviceDescriptor device)
{
Value inputData = Value.CreateSequence <double>(input.Shape, data.Observations, device);
var inputDic = new Dictionary <Variable, Value>()
{
{ input, inputData }
};
var outputDic = new Dictionary <Variable, Value>()
{
{ model.Output, null }
};
model.Evaluate(inputDic, outputDic, device);
Value outputValue = outputDic[model.Output];
IList <IList <double> > prediction = outputValue.GetDenseData <double>(model.Output);
return(prediction.Single().Single());
}
