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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::CompletionStats.
Success and error statistics of processing multiple entities (for example, DataItems or structured data rows) in batch.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#failed_count
def failed_count() -> ::Integer
Returns
- (::Integer) — Output only. The number of entities for which any error was encountered.
#incomplete_count
def incomplete_count() -> ::Integer
Returns
- (::Integer) — Output only. In cases when enough errors are encountered a job, pipeline, or operation may be failed as a whole. Below is the number of entities for which the processing had not been finished (either in successful or failed state). Set to -1 if the number is unknown (for example, the operation failed before the total entity number could be collected).
#successful_count
def successful_count() -> ::Integer
Returns
- (::Integer) — Output only. The number of entities that had been processed successfully.
#successful_forecast_point_count
def successful_forecast_point_count() -> ::Integer
Returns
- (::Integer) — Output only. The number of the successful forecast points that are generated by the forecasting model. This is ONLY used by the forecasting batch prediction.