in lib/model/ModelTypes.cc [631:685]
bool includeEmptyBuckets(EFeature feature) {
switch (feature) {
case E_IndividualCountByBucketAndPerson:
case E_IndividualLowCountsByBucketAndPerson:
case E_IndividualHighCountsByBucketAndPerson:
return true;
case E_IndividualNonZeroCountByBucketAndPerson:
case E_IndividualTotalBucketCountByPerson:
case E_IndividualIndicatorOfBucketPerson:
case E_IndividualLowNonZeroCountByBucketAndPerson:
case E_IndividualHighNonZeroCountByBucketAndPerson:
case E_IndividualUniqueCountByBucketAndPerson:
case E_IndividualLowUniqueCountByBucketAndPerson:
case E_IndividualHighUniqueCountByBucketAndPerson:
case E_IndividualInfoContentByBucketAndPerson:
case E_IndividualHighInfoContentByBucketAndPerson:
case E_IndividualLowInfoContentByBucketAndPerson:
case E_IndividualArrivalTimesByPerson:
case E_IndividualLongArrivalTimesByPerson:
case E_IndividualShortArrivalTimesByPerson:
case E_IndividualTimeOfDayByBucketAndPerson:
case E_IndividualTimeOfWeekByBucketAndPerson:
return false;
case E_IndividualSumByBucketAndPerson:
case E_IndividualLowSumByBucketAndPerson:
case E_IndividualHighSumByBucketAndPerson:
case E_IndividualSumVelocityByPerson:
return true;
case E_IndividualMeanByPerson:
case E_IndividualLowMeanByPerson:
case E_IndividualHighMeanByPerson:
case E_IndividualMedianByPerson:
case E_IndividualLowMedianByPerson:
case E_IndividualHighMedianByPerson:
case E_IndividualMinByPerson:
case E_IndividualMaxByPerson:
case E_IndividualVarianceByPerson:
case E_IndividualLowVarianceByPerson:
case E_IndividualHighVarianceByPerson:
case E_IndividualNonNullSumByBucketAndPerson:
case E_IndividualLowNonNullSumByBucketAndPerson:
case E_IndividualHighNonNullSumByBucketAndPerson:
case E_IndividualMeanLatLongByPerson:
case E_IndividualMaxVelocityByPerson:
case E_IndividualMinVelocityByPerson:
case E_IndividualMeanVelocityByPerson:
return false;
CASE_POPULATION_COUNT:
CASE_POPULATION_METRIC:
return false;
}
return false;
}