private void Replicate(SparseVector <double> vector, out SparseVector <double> vector1, out SparseVector <double> vector2)
{
int featureIdx = BowSpace.Words.Count;
vector1 = vector.Clone();
vector1.InnerIdx.Add(featureIdx);
vector1.InnerDat.Add(H1);
vector2 = vector.Clone();
vector2.InnerIdx.Add(featureIdx);
vector2.InnerDat.Add(H2);
ModelUtils.TryNrmVecL2(vector1);
ModelUtils.TryNrmVecL2(vector2);
}
/// <summary>
/// VMP message to 'sample'
/// </summary>
/// <param name="probsTrue">Constant value for 'probsTrue'.</param>
/// <returns>The outgoing VMP message to the 'sample' argument</returns>
/// <remarks><para>
/// The outgoing message is the factor viewed as a function of 'sample' conditioned on the given values.
/// </para></remarks>
public static BernoulliIntegerSubset SampleAverageLogarithm(SparseVector probsTrue)
{
var logOdds = probsTrue.Clone();
logOdds.SetToFunction(probsTrue, MMath.Logit);
return(new BernoulliIntegerSubset(logOdds));
}
/// <summary>
/// VMP message to 'sample'
/// </summary>
/// <param name="probsTrue">Constant value for 'probsTrue'.</param>
/// <returns>The outgoing VMP message to the 'sample' argument</returns>
/// <remarks><para>
/// The outgoing message is the factor viewed as a function of 'sample' conditioned on the given values.
/// </para></remarks>
public static BernoulliIntegerSubset SampleAverageLogarithm(SparseVector probsTrue)
{
var logOdds = probsTrue.Clone();
logOdds.SetToFunction(probsTrue, MMath.Logit);
return new BernoulliIntegerSubset(logOdds);
}