/// <summary>
/// The predict.
/// </summary>
/// <param name="scenarioId">
/// The scenario id.
/// </param>
/// <param name="inputSetId">
/// The input set id.
/// </param>
/// <returns>
/// The <see cref="PredictionSet"/>.
/// </returns>
public PredictionSet Predict(string scenarioId, string inputSetId)
{
var predictions = new PredictionSet {
Predictions = new List <Prediction>()
};
ScenarioTrainings trainings;
if (!trainingByScenario.TryGetValue(scenarioId, out trainings))
{
trainings = this.Train(scenarioId);
}
if (trainings == null)
{
return(predictions);
}
using (var dbContext = new OpenAIEntities1())
{
List <Feature> features =
dbContext.Features.Where(f => f.ScenarioId == scenarioId).OrderBy(f => f.Position).ToList();
Dictionary <string, Input> inputsById =
dbContext.Inputs.Where(i => i.ScenarioId == scenarioId && i.InputSetId == inputSetId)
.ToDictionary(i => i.FeatureId);
var sortedInputs = new List <Input>();
foreach (Feature feature in features)
{
Input input;
if (inputsById.TryGetValue(feature.FeatureId, out input))
{
sortedInputs.Add(input);
}
else
{
sortedInputs.Add(new Input {
FeatureId = feature.FeatureId
});
}
}
List <string> unset =
features.Select(f => f.FeatureId).Except(inputsById.Values.Select(i => i.FeatureId)).ToList();
foreach (string inputId in unset)
{
TrainerHelper training;
if (!trainings.TrainingByFeatureId.TryGetValue(inputId, out training))
{
continue;
}
var inputsMinusFeature = sortedInputs.Where(i => i.FeatureId != inputId).Select(i => i.Value).ToArray();
KeyValuePair <string, double> valueAndConfidence = trainer.Decide(training, inputsMinusFeature, inputId);
var prediction = new Prediction
{
InputId = inputId,
Confidence = valueAndConfidence.Value,
Value = valueAndConfidence.Key
};
predictions.Predictions.Add(prediction);
}
}
return(predictions);
}