Class: Google::Cloud::AIPlatform::V1::ModelMonitoringStatsAnomalies

Inherits:
Object
  • Object
show all
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

Instance Attribute Details

#anomaly_count ⇒ ::Integer

Returns Number of anomalies within all stats.

Returns:

  • (::Integer) —

    Number of anomalies within all stats.



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# File 'proto_docs/google/cloud/aiplatform/v1/model_deployment_monitoring_job.rb', line 285

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.

Returns:

  • (::String) —

    Deployed Model ID.



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# File 'proto_docs/google/cloud/aiplatform/v1/model_deployment_monitoring_job.rb', line 285

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.

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/model_deployment_monitoring_job.rb', line 285

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.

Returns:



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# File 'proto_docs/google/cloud/aiplatform/v1/model_deployment_monitoring_job.rb', line 285

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