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;
}
var totalTeamDifferences = mTeamPerformancesToTeamPerformanceDifferencesLayer.LocalFactors.Count;
var totalTeams = totalTeamDifferences + 1;
var innerSchedule = new ScheduleSequence <GaussianDistribution>("inner schedule", new[]
{
loop,
new ScheduleStep <GaussianDistribution>(
"teamPerformanceToPerformanceDifferenceFactors[0] @ 1",
mTeamPerformancesToTeamPerformanceDifferencesLayer.LocalFactors[0], 1),
new ScheduleStep <GaussianDistribution>(
String.Format("teamPerformanceToPerformanceDifferenceFactors[teamTeamDifferences = {0} - 1] @ 2", totalTeamDifferences),
mTeamPerformancesToTeamPerformanceDifferencesLayer.LocalFactors[totalTeamDifferences - 1], 2)
});
return(innerSchedule);
}
private Schedule <GaussianDistribution> CreateMultipleTeamInnerPriorLoopSchedule()
{
var totalTeamDifferences = mTeamPerformancesToTeamPerformanceDifferencesLayer.LocalFactors.Count;
var forwardScheduleList = new List <Schedule <GaussianDistribution> >();
for (var i = 0; i < totalTeamDifferences - 1; ++i)
{
var currentForwardSchedulePiece = ScheduleSequence(new Schedule <GaussianDistribution>[]
{
new ScheduleStep <GaussianDistribution>(
String.Format("team perf to perf diff {0}", i),
mTeamPerformancesToTeamPerformanceDifferencesLayer.LocalFactors[i], 0),
new ScheduleStep <GaussianDistribution>(
String.Format("greater than or within result factor {0}", i),
mTeamDifferencesComparisonLayer.LocalFactors[i], 0),
new ScheduleStep <GaussianDistribution>(
String.Format("team perf to perf diff factors {0}, 2", i),
mTeamPerformancesToTeamPerformanceDifferencesLayer.LocalFactors[i], 2),
}, "current forward schedule piece {0}", 1);
forwardScheduleList.Add(currentForwardSchedulePiece);
}
var forwardSchedule = new ScheduleSequence <GaussianDistribution>(
"forward schedule", forwardScheduleList);
var backwardScheduleList = new List <Schedule <GaussianDistribution> >();
for (var 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),
mTeamPerformancesToTeamPerformanceDifferencesLayer.LocalFactors[totalTeamDifferences - 1 - i], 0),
new ScheduleStep <GaussianDistribution>(
String.Format("greaterThanOrWithinResultFactors[totalTeamDifferences - 1 - {0}] @ 0", i),
mTeamDifferencesComparisonLayer.LocalFactors[totalTeamDifferences - 1 - i], 0),
new ScheduleStep <GaussianDistribution>(
String.Format("teamPerformanceToPerformanceDifferenceFactors[totalTeamDifferences - 1 - {0}] @ 1", i),
mTeamPerformancesToTeamPerformanceDifferencesLayer.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);
}