Class: Google::Cloud::AIPlatform::V1::ModelMonitoringStatsAnomalies
- Inherits:
-
Object
- Object
- Google::Cloud::AIPlatform::V1::ModelMonitoringStatsAnomalies
- Extended by:
- Protobuf::MessageExts::ClassMethods
- Includes:
- Protobuf::MessageExts
- Defined in:
- proto_docs/google/cloud/aiplatform/v1/model_deployment_monitoring_job.rb
Overview
Statistics and anomalies generated by Model Monitoring.
Defined Under Namespace
Classes: FeatureHistoricStatsAnomalies
Instance Attribute Summary collapse
-
#anomaly_count ⇒ ::Integer
Number of anomalies within all stats.
-
#deployed_model_id ⇒ ::String
Deployed Model ID.
-
#feature_stats ⇒ ::Array<::Google::Cloud::AIPlatform::V1::ModelMonitoringStatsAnomalies::FeatureHistoricStatsAnomalies>
A list of historical Stats and Anomalies generated for all Features.
-
#objective ⇒ ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringObjectiveType
Model Monitoring Objective those stats and anomalies belonging to.
Instance Attribute Details
#anomaly_count ⇒ ::Integer
Returns Number of anomalies within all stats.
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# File 'proto_docs/google/cloud/aiplatform/v1/model_deployment_monitoring_job.rb', line 271 class ModelMonitoringStatsAnomalies include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Historical Stats (and Anomalies) for a specific Feature. # @!attribute [rw] feature_display_name # @return [::String] # Display Name of the Feature. # @!attribute [rw] threshold # @return [::Google::Cloud::AIPlatform::V1::ThresholdConfig] # Threshold for anomaly detection. # @!attribute [rw] training_stats # @return [::Google::Cloud::AIPlatform::V1::FeatureStatsAnomaly] # Stats calculated for the Training Dataset. # @!attribute [rw] prediction_stats # @return [::Array<::Google::Cloud::AIPlatform::V1::FeatureStatsAnomaly>] # A list of historical stats generated by different time window's # Prediction Dataset. class FeatureHistoricStatsAnomalies include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#deployed_model_id ⇒ ::String
Returns Deployed Model ID.
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# File 'proto_docs/google/cloud/aiplatform/v1/model_deployment_monitoring_job.rb', line 271 class ModelMonitoringStatsAnomalies include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Historical Stats (and Anomalies) for a specific Feature. # @!attribute [rw] feature_display_name # @return [::String] # Display Name of the Feature. # @!attribute [rw] threshold # @return [::Google::Cloud::AIPlatform::V1::ThresholdConfig] # Threshold for anomaly detection. # @!attribute [rw] training_stats # @return [::Google::Cloud::AIPlatform::V1::FeatureStatsAnomaly] # Stats calculated for the Training Dataset. # @!attribute [rw] prediction_stats # @return [::Array<::Google::Cloud::AIPlatform::V1::FeatureStatsAnomaly>] # A list of historical stats generated by different time window's # Prediction Dataset. class FeatureHistoricStatsAnomalies include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#feature_stats ⇒ ::Array<::Google::Cloud::AIPlatform::V1::ModelMonitoringStatsAnomalies::FeatureHistoricStatsAnomalies>
Returns A list of historical Stats and Anomalies generated for all Features.
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# File 'proto_docs/google/cloud/aiplatform/v1/model_deployment_monitoring_job.rb', line 271 class ModelMonitoringStatsAnomalies include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Historical Stats (and Anomalies) for a specific Feature. # @!attribute [rw] feature_display_name # @return [::String] # Display Name of the Feature. # @!attribute [rw] threshold # @return [::Google::Cloud::AIPlatform::V1::ThresholdConfig] # Threshold for anomaly detection. # @!attribute [rw] training_stats # @return [::Google::Cloud::AIPlatform::V1::FeatureStatsAnomaly] # Stats calculated for the Training Dataset. # @!attribute [rw] prediction_stats # @return [::Array<::Google::Cloud::AIPlatform::V1::FeatureStatsAnomaly>] # A list of historical stats generated by different time window's # Prediction Dataset. class FeatureHistoricStatsAnomalies include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |
#objective ⇒ ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringObjectiveType
Returns Model Monitoring Objective those stats and anomalies belonging to.
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# File 'proto_docs/google/cloud/aiplatform/v1/model_deployment_monitoring_job.rb', line 271 class ModelMonitoringStatsAnomalies include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # Historical Stats (and Anomalies) for a specific Feature. # @!attribute [rw] feature_display_name # @return [::String] # Display Name of the Feature. # @!attribute [rw] threshold # @return [::Google::Cloud::AIPlatform::V1::ThresholdConfig] # Threshold for anomaly detection. # @!attribute [rw] training_stats # @return [::Google::Cloud::AIPlatform::V1::FeatureStatsAnomaly] # Stats calculated for the Training Dataset. # @!attribute [rw] prediction_stats # @return [::Array<::Google::Cloud::AIPlatform::V1::FeatureStatsAnomaly>] # A list of historical stats generated by different time window's # Prediction Dataset. class FeatureHistoricStatsAnomalies include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end end |