@Override
public void buildLayer() {
teamPerformancesToTeamPerformanceDifferencesLayer.setRawInputVariablesGroups(
getInputVariablesGroups());
teamPerformancesToTeamPerformanceDifferencesLayer.buildLayer();
teamDifferencesComparisonLayer.setRawInputVariablesGroups(
teamPerformancesToTeamPerformanceDifferencesLayer.getRawOutputVariablesGroups());
teamDifferencesComparisonLayer.buildLayer();
}
private Schedule<GaussianDistribution> createTwoTeamInnerPriorLoopSchedule() {
Collection<Schedule<GaussianDistribution>> schedules = new ArrayList<>();
schedules.add(
new ScheduleStep<>(
"send team perf to perf differences",
teamPerformancesToTeamPerformanceDifferencesLayer.getLocalFactors().get(0),
0));
schedules.add(
new ScheduleStep<>(
"send to greater than or within factor",
teamDifferencesComparisonLayer.getLocalFactors().get(0),
0));
return ScheduleSequence(schedules, "loop of just two teams inner sequence");
}
private Schedule<GaussianDistribution> createMultipleTeamInnerPriorLoopSchedule() {
int totalTeamDifferences =
teamPerformancesToTeamPerformanceDifferencesLayer.getLocalFactors().size();
List<Schedule<GaussianDistribution>> forwardScheduleList = new ArrayList<>();
for (int i = 0; i < totalTeamDifferences - 1; i++) {
Collection<Schedule<GaussianDistribution>> schedules = new ArrayList<>();
schedules.add(
new ScheduleStep<>(
String.format("team perf to perf diff %d", i),
teamPerformancesToTeamPerformanceDifferencesLayer.getLocalFactors().get(i),
0));
schedules.add(
new ScheduleStep<>(
String.format("greater than or within result factor %d", i),
teamDifferencesComparisonLayer.getLocalFactors().get(i),
0));
schedules.add(
new ScheduleStep<>(
String.format("team perf to perf diff factors [%d], 2", i),
teamPerformancesToTeamPerformanceDifferencesLayer.getLocalFactors().get(i),
2));
Schedule<GaussianDistribution> currentForwardSchedulePiece =
ScheduleSequence(schedules, "current forward schedule piece %d", i);
forwardScheduleList.add(currentForwardSchedulePiece);
}
ScheduleSequence<GaussianDistribution> forwardSchedule =
new ScheduleSequence<>("forward schedule", forwardScheduleList);
List<Schedule<GaussianDistribution>> backwardScheduleList = new ArrayList<>();
for (int i = 0; i < totalTeamDifferences - 1; i++) {
Collection<Schedule<GaussianDistribution>> schedules = new ArrayList<>();
schedules.add(
new ScheduleStep<>(
String.format(
"teamPerformanceToPerformanceDifferenceFactors[totalTeamDifferences - 1 - %d] @ 0",
i),
teamPerformancesToTeamPerformanceDifferencesLayer
.getLocalFactors()
.get(totalTeamDifferences - 1 - i),
0));
schedules.add(
new ScheduleStep<>(
String.format(
"greaterThanOrWithinResultFactors[totalTeamDifferences - 1 - %d] @ 0", i),
teamDifferencesComparisonLayer.getLocalFactors().get(totalTeamDifferences - 1 - i),
0));
schedules.add(
new ScheduleStep<>(
String.format(
"teamPerformanceToPerformanceDifferenceFactors[totalTeamDifferences - 1 - %d] @ 1",
i),
teamPerformancesToTeamPerformanceDifferencesLayer
.getLocalFactors()
.get(totalTeamDifferences - 1 - i),
1));
ScheduleSequence<GaussianDistribution> currentBackwardSchedulePiece =
new ScheduleSequence<>("current backward schedule piece", schedules);
backwardScheduleList.add(currentBackwardSchedulePiece);
}
ScheduleSequence<GaussianDistribution> backwardSchedule =
new ScheduleSequence<>("backward schedule", backwardScheduleList);
Collection<Schedule<GaussianDistribution>> schedules = new ArrayList<>();
schedules.add(forwardSchedule);
schedules.add(backwardSchedule);
ScheduleSequence<GaussianDistribution> forwardBackwardScheduleToLoop =
new ScheduleSequence<>("forward Backward Schedule To Loop", schedules);
final double initialMaxDelta = 0.0001;
return new ScheduleLoop<>(
String.format("loop with max delta of %f", initialMaxDelta),
forwardBackwardScheduleToLoop,
initialMaxDelta);
}