/// <summary>
/// The maximum 'difference' between this instance and that instance.
/// This returns the maximum absolute difference between the Log-odds of any element
/// </summary>
/// <param name="that">The other distribution</param>
/// <returns>The resulting maximum difference</returns>
/// <remarks><c>a.MaxDiff(b) == b.MaxDiff(a)</c></remarks>
public double MaxDiff(object that)
{
SparseBernoulliListBase sbl = (SparseBernoulliListBase)that;
// differences in log odds
SparseVector absDiff = SparseVector.Zero(LogOddsVector.Count);
absDiff.SetToFunction(LogOddsVector, sbl.LogOddsVector, (a, b) => MMath.AbsDiff(a, b));
return(absDiff.Max());
}
