/// <summary>
/// Apply the training package to the model
/// </summary>
/// <param name="trainingPackage"></param>
private void UseTrainingPackage(TrainingPackage trainingPackage)
{
foreach (FeaturePackage fp in trainingPackage.TrainingPackageQueries)
{
_lrModel.TrainModel(fp); // Pass to model for training
}
}
/// <summary>
/// Build the training package for a query prefix
/// </summary>
/// <param name="partialQuery"></param>
/// <returns></returns>
private TrainingPackage BuildTrainingPackage(string partialQuery, bool isFirstTrainingPackageForPrefix)
{
TrainingPackage trainingPackage = new TrainingPackage();
trainingPackage.QueryCountAtCreation = _currentQueryCount; // Set the query count at package creation
trainingPackage.IsFirstTrainingPackageForPrefix = isFirstTrainingPackageForPrefix;
trainingPackage.ForPrefix = partialQuery;
trainingPackage.TrainingPackageQueries = new List<FeaturePackage>();
Dictionary<string, FeaturePackage> trainingPackageQueriesLookup = new Dictionary<string, FeaturePackage>(); // Index lookup by query
NonTemporalBucket<BaseIndexEntry> biggestNTB = _ntbs[_ntbs.Length - 1][partialQuery];
// Efficiently build the features for each query
foreach (BaseIndexEntry prefixEntry in biggestNTB.AllBucketQueries)
{
FeaturePackage tpq = BuildFeaturePackage(prefixEntry, partialQuery);
trainingPackage.TrainingPackageQueries.Add(tpq);
}
return trainingPackage;
}