/// <summary>
/// Sets this BernoulliIntegerSubset distribution to the weighted sum of two other such distributions
/// </summary>
/// <param name="weight1"></param>
/// <param name="value1"></param>
/// <param name="weight2"></param>
/// <param name="value2"></param>
/// <remarks>Not yet implemented</remarks>
public void SetToSum(double weight1, BernoulliIntegerSubset value1, double weight2, BernoulliIntegerSubset value2)
{
if (weight1 + weight2 == 0)
{
SetToUniform();
}
else
{
LogOddsVector.SetToFunction(value1.GetProbTrueVector(), value2.GetProbTrueVector(), (x, y) => MMath.Logit((weight1 * x + weight2 * y) / (weight1 + weight2)));
}
}
/// <summary>
/// Gets a vector of P(true) values.
/// </summary>
/// <returns></returns>
public void SetProbTrueVector(SparseVector probTrueVector)
{
LogOddsVector.SetToFunction(probTrueVector, MMath.Logit);
}
/// <summary>
/// Tests if all Bernoulli elements are uniform.
/// </summary>
/// <returns></returns>
public bool IsUniform()
{
return(LogOddsVector.EqualsAll(0));
}
/// <summary>
/// Sets all Bernoulli elements to uniform.
/// </summary>
public void SetToUniform()
{
LogOddsVector.SetAllElementsTo(0.0);
}
public SparseBernoulliList(Vector logOddsVector)
: this(logOddsVector.Count)
{
LogOddsVector.SetTo(logOddsVector);
}
/// <summary>
/// Sets this BernoulliIntegerSubset distribution to the ratio of two other such distributions
/// </summary>
/// <param name="numerator"></param>
/// <param name="denominator"></param>
public void SetToRatio(BernoulliIntegerSubset numerator, BernoulliIntegerSubset denominator)
{
LogOddsVector.SetToDifference(numerator.LogOddsVector, denominator.LogOddsVector);
}
/// <summary>
/// Sets this BernoulliIntegerSubset distribution to another such distribution
/// </summary>
/// <param name="value"></param>
public void SetTo(BernoulliIntegerSubset value)
{
LogOddsVector.SetTo(value.LogOddsVector);
}
/// <summary>
/// Sets this BernoulliIntegerSubset distribution to a product of two other such distributions
/// </summary>
/// <param name="a"></param>
/// <param name="b"></param>
public void SetToProduct(BernoulliIntegerSubset a, BernoulliIntegerSubset b)
{
LogOddsVector.SetToSum(a.LogOddsVector, b.LogOddsVector);
}
/// <summary>
/// Clones this object.
/// </summary>
/// <returns></returns>
public object Clone()
{
BernoulliIntegerSubset clone = new BernoulliIntegerSubset((SparseVector)LogOddsVector.Clone());
return(clone);
}
public BernoulliIntegerSubset(Vector logOddsVector)
: this(logOddsVector.Count)
{
LogOddsVector.SetTo(logOddsVector);
}
