public override void BuildLayer()
{
foreach (var currentTeam in InputVariablesGroups)
{
Variable <GaussianDistribution> teamPerformance = CreateOutputVariable(currentTeam);
AddLayerFactor(CreatePlayerToTeamSumFactor(currentTeam, teamPerformance));
// REVIEW: Does it make sense to have groups of one?
OutputVariablesGroups.Add(new[] { teamPerformance });
}
}
public override void BuildLayer()
{
for (int i = 0; i < InputVariablesGroups.Count - 1; i++)
{
Variable <GaussianDistribution> strongerTeam = InputVariablesGroups[i][0];
Variable <GaussianDistribution> weakerTeam = InputVariablesGroups[i + 1][0];
Variable <GaussianDistribution> currentDifference = CreateOutputVariable();
AddLayerFactor(CreateTeamPerformanceToDifferenceFactor(strongerTeam, weakerTeam, currentDifference));
// REVIEW: Does it make sense to have groups of one?
OutputVariablesGroups.Add(new[] { currentDifference });
}
}
public override void BuildLayer()
{
foreach (var currentTeam in InputVariablesGroups)
{
var currentTeamPlayerPerformances = new List <KeyedVariable <TPlayer, GaussianDistribution> >();
foreach (var playerSkillVariable in currentTeam)
{
KeyedVariable <TPlayer, GaussianDistribution> playerPerformance =
CreateOutputVariable(playerSkillVariable.Key);
AddLayerFactor(CreateLikelihood(playerSkillVariable, playerPerformance));
currentTeamPlayerPerformances.Add(playerPerformance);
}
OutputVariablesGroups.Add(currentTeamPlayerPerformances);
}
}
public override void BuildLayer()
{
foreach (var currentTeam in _Teams)
{
var currentTeamSkills = new List <KeyedVariable <TPlayer, GaussianDistribution> >();
foreach (var currentTeamPlayer in currentTeam)
{
KeyedVariable <TPlayer, GaussianDistribution> playerSkill =
CreateSkillOutputVariable(currentTeamPlayer.Key);
AddLayerFactor(CreatePriorFactor(currentTeamPlayer.Key, currentTeamPlayer.Value, playerSkill));
currentTeamSkills.Add(playerSkill);
}
OutputVariablesGroups.Add(currentTeamSkills);
}
}
