public override Schedule <GaussianDistribution> CreatePriorSchedule()
{
Schedule <GaussianDistribution> loop = null;
switch (InputVariablesGroups.Count)
{
case 0:
case 1:
throw new InvalidOperationException();
case 2:
loop = CreateTwoTeamInnerPriorLoopSchedule();
break;
default:
loop = CreateMultipleTeamInnerPriorLoopSchedule();
break;
}
// When dealing with differences, there are always (n-1) differences, so add in the 1
int totalTeamDifferences = _TeamPerformancesToTeamPerformanceDifferencesLayer.LocalFactors.Count;
int totalTeams = totalTeamDifferences + 1;
var innerSchedule = new ScheduleSequence <GaussianDistribution>(
"inner schedule",
new[]
{
loop,
new ScheduleStep <GaussianDistribution>(
"teamPerformanceToPerformanceDifferenceFactors[0] @ 1",
_TeamPerformancesToTeamPerformanceDifferencesLayer.LocalFactors[0], 1),
new ScheduleStep <GaussianDistribution>(
String.Format("teamPerformanceToPerformanceDifferenceFactors[teamTeamDifferences = {0} - 1] @ 2",
totalTeamDifferences),
_TeamPerformancesToTeamPerformanceDifferencesLayer.LocalFactors[totalTeamDifferences - 1], 2)
}
);
return(innerSchedule);
}
private Schedule <GaussianDistribution> CreateMultipleTeamInnerPriorLoopSchedule()
{
int totalTeamDifferences = _TeamPerformancesToTeamPerformanceDifferencesLayer.LocalFactors.Count;
var forwardScheduleList = new List <Schedule <GaussianDistribution> >();
for (int i = 0; i < totalTeamDifferences - 1; i++)
{
Schedule <GaussianDistribution> currentForwardSchedulePiece =
ScheduleSequence(
new Schedule <GaussianDistribution>[]
{
new ScheduleStep <GaussianDistribution>(
String.Format("team perf to perf diff {0}",
i),
_TeamPerformancesToTeamPerformanceDifferencesLayer.LocalFactors[i], 0),
new ScheduleStep <GaussianDistribution>(
String.Format("greater than or within result factor {0}",
i),
_TeamDifferencesComparisonLayer.LocalFactors[i],
0),
new ScheduleStep <GaussianDistribution>(
String.Format("team perf to perf diff factors [{0}], 2",
i),
_TeamPerformancesToTeamPerformanceDifferencesLayer.LocalFactors[i], 2)
}, "current forward schedule piece {0}", i);
forwardScheduleList.Add(currentForwardSchedulePiece);
}
var forwardSchedule =
new ScheduleSequence <GaussianDistribution>(
"forward schedule",
forwardScheduleList);
var backwardScheduleList = new List <Schedule <GaussianDistribution> >();
for (int i = 0; i < totalTeamDifferences - 1; i++)
{
var currentBackwardSchedulePiece = new ScheduleSequence <GaussianDistribution>(
"current backward schedule piece",
new Schedule <GaussianDistribution>[]
{
new ScheduleStep <GaussianDistribution>(
String.Format("teamPerformanceToPerformanceDifferenceFactors[totalTeamDifferences - 1 - {0}] @ 0",
i),
_TeamPerformancesToTeamPerformanceDifferencesLayer.LocalFactors[
totalTeamDifferences - 1 - i], 0),
new ScheduleStep <GaussianDistribution>(
String.Format("greaterThanOrWithinResultFactors[totalTeamDifferences - 1 - {0}] @ 0",
i),
_TeamDifferencesComparisonLayer.LocalFactors[totalTeamDifferences - 1 - i], 0),
new ScheduleStep <GaussianDistribution>(
String.Format("teamPerformanceToPerformanceDifferenceFactors[totalTeamDifferences - 1 - {0}] @ 1",
i),
_TeamPerformancesToTeamPerformanceDifferencesLayer.LocalFactors[
totalTeamDifferences - 1 - i], 1)
}
);
backwardScheduleList.Add(currentBackwardSchedulePiece);
}
var backwardSchedule =
new ScheduleSequence <GaussianDistribution>(
"backward schedule",
backwardScheduleList);
var forwardBackwardScheduleToLoop =
new ScheduleSequence <GaussianDistribution>(
"forward Backward Schedule To Loop",
new Schedule <GaussianDistribution>[]
{
forwardSchedule, backwardSchedule
});
const double initialMaxDelta = 0.0001;
var loop = new ScheduleLoop <GaussianDistribution>(
String.Format("loop with max delta of {0}",
initialMaxDelta),
forwardBackwardScheduleToLoop,
initialMaxDelta);
return(loop);
}