public async Task <List <YearWithValue> > PredictCo2OverYearsAsync(Model modelContainer, int futureYear, int coa_id, List <YearWithValue> emissions, CNTK cNTK)
{
//Get Population till future year
List <YearWithValue> population = await dB.GetPopulationByCoaIdAsync(coa_id); //get population that is known
if (CompareBiggestValueToFutureYear(population, futureYear)) //check if known population is enough to predict emission
{
population = await cNTK.PredictPopulationAsync(coa_id, futureYear, population); //get population to predict emission
}
EmissionModel[] populationData = new EmissionModel[population.Count];
for (int i = 0; i < populationData.Count(); i++)
{
populationData[i] = new EmissionModel()
{
Year = population[i].Year, Population = population[i].Value.value
};
}
PredictionEngine <EmissionModel, EmissionPrediction> predictionEngine = modelContainer.mLContext.Model.CreatePredictionEngine <EmissionModel, EmissionPrediction>(modelContainer.trainedModel);
IDataView inputData = modelContainer.mLContext.Data.LoadFromEnumerable(populationData);
IDataView predictions = modelContainer.trainedModel.Transform(inputData);
float[] scoreColumn = predictions.GetColumn <float>("Score").ToArray();
for (int i = emissions.Count; i < scoreColumn.Length; i++)
{
emissions.Add(new YearWithValue(population[i].Year, new Wert(scoreColumn[i], true)));
}
return(emissions);
}
public static YearWithValue PredictCo2(MLContext mlContext, ITransformer model, float year, float population)
{
var predictionFunction = mlContext.Model.CreatePredictionEngine <EmissionModel, EmissionPrediction>(model);
var test = new EmissionModel()
{
Year = year, Population = population
};
var prediction = predictionFunction.Predict(test);
return(new YearWithValue(year, new Wert(prediction.Co2, true)));
}
