/// <summary>
/// Sorts opponets of given player, according to similarity measure, by PostFlop similarity.
/// </summary>
/// <param name="playerStats"></param>
/// <returns></returns>
private DifferencePair[] getSimilarOpponents_PostFlop(GaussianDistribution aggression, GaussianDistribution WTP)
{
var diff = new DifferencePair[_baseModels.Count];
for (int j = 0; j < _baseModels.Count; j++)
{
var aggDiff = _aggressionPrior.Difference(aggression, _baseModels[j].Aggression);
var wtpDiff = _wtpPrior.Difference(WTP, _baseModels[j].WTP);
diff[j].Difference = (float)Math.Sqrt(aggDiff.Mean * aggDiff.Mean + wtpDiff.Mean * wtpDiff.Mean);
diff[j].Index = j;
}
return(diff.OrderBy(ep => ep.Difference).ToArray());
}
/// <summary>
/// Sorts opponets of given player, according to similarity measure, by PreFlop similarity.
/// </summary>
/// <param name="playerStats">Given player statistics.</param>
/// <returns>Sorted opponent list.</returns>
private DifferencePair[] getSimilarOpponents_PreFlop(GaussianDistribution VPIP, GaussianDistribution PFR)
{
var diff = new DifferencePair[_baseModels.Count];
for (int j = 0; j < _baseModels.Count; j++)
{
var vpipDiff = _vpipPrior.Difference(VPIP, _baseModels[j].VPIP);
var pfrDiff = _pfrPrior.Difference(PFR, _baseModels[j].PFR);
diff[j].Difference = (float)Math.Sqrt(vpipDiff.Mean * vpipDiff.Mean + pfrDiff.Mean * pfrDiff.Mean);
diff[j].Index = j;
}
return(diff.OrderBy(ep => ep.Difference).ToArray());
}
