/// <summary>
/// Initializes a new instance of the <see cref="CommunityTrainingAlgorithm"/> class.
/// </summary>
/// <param name="iterationCount">The number of inference iterations to perform.</param>
/// <param name="traitCount">The number of traits the algorithm will try to learn.</param>
/// <param name="useSharedUserThresholds">Indicates whether to use shared user thresholds.</param>
/// <param name="noiseHyperparameters">The noise-related hyper-parameters.</param>
/// <param name="userHyperparameters">The user-related hyper-parameters.</param>
/// <param name="itemHyperparameters">The item-related hyper-parameters.</param>
/// <param name="userFeatureHyperparameters">The user feature related hyper-parameters.</param>
/// <param name="itemFeatureHyperparameters">The item feature related hyper-parameters.</param>
public CommunityTrainingAlgorithm(
int iterationCount,
int traitCount,
bool useSharedUserThresholds,
NoiseHyperparameters noiseHyperparameters,
UserHyperparameters userHyperparameters,
ItemHyperparameters itemHyperparameters,
FeatureHyperparameters userFeatureHyperparameters,
FeatureHyperparameters itemFeatureHyperparameters)
{
this.inferenceAlgorithm = new MatchboxCommunityTraining_EP();
Debug.Assert(iterationCount > 0, "The number of iterations must be positive.");
this.iterationCount = iterationCount;
Debug.Assert(traitCount > 0, "The number of traits must be positive.");
this.inferenceAlgorithm.TraitCount = traitCount;
this.inferenceAlgorithm.UseSharedUserThresholds = useSharedUserThresholds;
this.SetNoiseHyperparameters(noiseHyperparameters);
this.SetUserHyperparameters(userHyperparameters);
this.SetItemHyperparameters(itemHyperparameters);
this.SetUserFeatureHyperparameters(userFeatureHyperparameters);
this.SetItemFeatureHyperparameters(itemFeatureHyperparameters);
}
/// <summary>
/// Sets the user hyper-parameters.
/// </summary>
/// <param name="userHyperparameters">The user hyper-parameters.</param>
private void SetUserHyperparameters(UserHyperparameters userHyperparameters)
{
Debug.Assert(userHyperparameters != null, "Valid noise hyperparameters must be provided.");
this.inferenceAlgorithm.UserTraitVariance = userHyperparameters.TraitVariance;
this.inferenceAlgorithm.UserBiasVariance = userHyperparameters.BiasVariance;
this.inferenceAlgorithm.UserThresholdPriorVariance = userHyperparameters.ThresholdPriorVariance;
}