Dcsn Optimization Summary DMO

Stores cycle-level (policy-level) performance analytics for decision optimizers (contextual bandits). Each record aggregates across all arms within a single evaluation cycle, providing total pull counts, cumulative regret, best-arm reward rate, and weighted average performance.

Object API Name: std__DcsnOptimizationSummaryDmo__dlm
Category: Unassigned
Availability: Available in 262 and later versions
Primary Key Field: Id

• AvgModelCalibrationScoreNbr
• BestOptionRewardRateNbr
• cdp_sys_record_currency
• CumulativeRegretNumber
• DataSourceId
• DataSourceObjectId
• DcsnOptmztnIdentifier
• EvaluationCycleIdentifier
• EvaluationDateTm
• Id
• InternalOrganizationId
• MetricName
• OptionCount
• TotalCumulativeRewardNumber
• TotalExplorationRatePct
• TotalPullCount
• WeightedAvgRewardRateNbr

• Field API Name: std__AvgModelCalibrationScoreNbr__c
• Data Type: DOUBLE
• Description: Pull-count-weighted average of ModelCalibrationScore across all arms: sum(PullCount times CalibScore) / sum(PullCount); lower values indicate better overall model calibration

• Field API Name: std__BestOptionRewardRateNbr__c
• Data Type: DOUBLE
• Description: Maximum EmpiricalRewardRate across all arms in the cycle; represents the performance ceiling

• Field API Name: std__cdp_sys_record_currency__c
• Data Type: TEXT
• Description: System-generated metadata field that stores a 3-letter ISO currency code.

• Field API Name: std__CumulativeRegretNumber__c
• Data Type: DOUBLE
• Description: Total expected reward left on the table by not always picking the globally best-performing arm; computed as sum of PullCount(arm) times (best_rate minus arm_rate) across all arms

• Field API Name: std__DataSourceId__c
• Data Type: TEXT
• Description: A unique, system-generated identifier for this record.

• Field API Name: std__DataSourceObjectId__c
• Data Type: TEXT
• Description: A unique, system-generated identifier for this record.

• Field API Name: std__DcsnOptmztnIdentifier__c
• Data Type: TEXT
• Description: Identifier of the decision option configuration this cycle summary belongs to

• Field API Name: std__EvaluationCycleIdentifier__c
• Data Type: TEXT
• Description: UUID identifying the specific evaluation cycle (Spark job run) that produced this record

• Field API Name: std__EvaluationDateTm__c
• Data Type: DATETIME
• Description: Timestamp when this evaluation cycle was computed

• Field API Name: std__Id__c
• Data Type: TEXT
• Description: Primary key composed from DcsnOptimizerConfigurationId + EvaluationCycleId

• Field API Name: std__InternalOrganizationId__c
• Data Type: TEXT
• Description: A unique, system-generated identifier for this record.

• Field API Name: std__MetricName__c
• Data Type: TEXT
• Description: Goal metric this cycle summary is computed for taken from the recommender configuration

• Field API Name: std__OptionCount__c
• Data Type: DOUBLE
• Description: Number of distinct options (arms) active in this evaluation cycle

• Field API Name: std__TotalCumulativeRewardNumber__c
• Data Type: DOUBLE
• Description: Sum of CumulativeRewardNumber across all arms in the cycle; represents total attributed engagement value for the decision option

• Field API Name: std__TotalExplorationRatePct__c
• Data Type: PERCENT
• Description: Overall exploration rate across all arms (total explorer count / total pull count) for the cycle

• Field API Name: std__TotalPullCount__c
• Data Type: DOUBLE
• Description: Total number of requests served across all arms in this evaluation cycle

• Field API Name: std__WeightedAvgRewardRateNbr__c
• Data Type: DOUBLE
• Description: Pull-count-weighted average of EmpiricalRewardRate across all arms: sum(PullCount times Rate) / sum(PullCount)