/// <inheritdoc />
public override ModelPosteriors InferPosteriors(
int[][] workerLabel,
int[][] workerJudgedTweetIndex,
int[][] words = null,
int[] wordCounts = null,
int[] newWorkerToOldWorkerMap = null,
int[] newWordToOldWordMap = null,
int?[] goldLabels = null,
ModelPosteriors oldPosteriors = null,
int numIterations = 20)
{
this.ObserveLabels(workerLabel, workerJudgedTweetIndex, goldLabels);
this.ObserveWords(words, wordCounts);
if (newWorkerToOldWorkerMap == null || oldPosteriors == null)
{
this.SetDefaultPriors();
}
else
{
this.SetPriorsFromPosteriors(newWorkerToOldWorkerMap, newWordToOldWordMap, oldPosteriors);
}
// Initialize messages
var discreteUniform = Discrete.Uniform(this.NumberOfCommunities);
this.WorkerCommunityInitializer.ObservedValue = Distribution <int> .Array(Util.ArrayInit(workerLabel.Length, w => Discrete.PointMass(discreteUniform.Sample(), this.NumberOfCommunities)));
var posteriors = new BiasedCommunityWordsPosteriors();
var evidences = new List <double>();
try
{
for (var it = 1; it <= numIterations; it++)
{
this.Engine.NumberOfIterations = it;
posteriors.TrueLabel = this.Engine.Infer <Discrete[]>(this.TrueLabel);
posteriors.CommunityCpt = this.Engine.Infer <Dirichlet[][]>(this.ProbWorkerLabel);
posteriors.WorkerCommunities = this.Engine.Infer <Discrete[]>(this.Community);
posteriors.BackgroundLabelProb = this.Engine.Infer <Dirichlet>(this.ProbLabel);
posteriors.ProbWordPosterior = this.Engine.Infer <Dirichlet[]>(this.ProbWords);
if (this.HasEvidence)
{
posteriors.Evidence = this.Engine.Infer <Bernoulli>(this.Evidence);
Console.WriteLine($"Iteration {it} log evidence:\t{posteriors.Evidence.LogOdds:0.0000}");
evidences.Add(posteriors.Evidence.LogOdds);
if (ModelBase.HasConverged(evidences))
{
break;
}
}
}
}
catch (Exception e)
{
Console.WriteLine(e);
}
return(posteriors);
}
/// <inheritdoc />
public override ModelPosteriors InferPosteriors(
int[][] workerLabel,
int[][] workerJudgedTweetIndex,
int[][] words = null,
int[] wordCounts = null,
int[] newWorkerToOldWorkerMap = null,
int[] newWordToOldWordMap = null,
int?[] goldLabels = null,
ModelPosteriors oldPosteriors = null,
int numIterations = 20)
{
this.ObserveLabels(workerLabel, workerJudgedTweetIndex, goldLabels);
if (newWorkerToOldWorkerMap == null || oldPosteriors == null)
{
this.SetDefaultPriors();
}
else
{
this.SetPriorsFromPosteriors(newWorkerToOldWorkerMap, newWordToOldWordMap, oldPosteriors);
}
var posteriors = new HonestWorkerModelPosteriors();
var evidences = new List <double>();
for (var it = 1; it <= numIterations; it++)
{
this.Engine.NumberOfIterations = it;
posteriors.TrueLabel = this.Engine.Infer <Discrete[]>(this.TrueLabel);
posteriors.BackgroundLabelProb = this.Engine.Infer <Dirichlet>(this.ProbLabel);
posteriors.RandomGuessProbability = this.Engine.Infer <Dirichlet>(this.RandomGuessProbability);
posteriors.WorkerAbility = this.Engine.Infer <Beta[]>(this.Ability);
if (this.HasEvidence)
{
posteriors.Evidence = this.Engine.Infer <Bernoulli>(this.Evidence);
Console.WriteLine($"Iteration {it} log evidence:\t{posteriors.Evidence.LogOdds:0.0000}");
evidences.Add(posteriors.Evidence.LogOdds);
if (ModelBase.HasConverged(evidences))
{
break;
}
}
}
return(posteriors);
}