Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureMonitoringStatsAnomaly

Inherits:

Object

• Object
• Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureMonitoringStatsAnomaly

Includes:

Core::Hashable, Core::JsonObjectSupport

Defined in:

lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

A list of historical SnapshotAnalysis or ImportFeaturesAnalysis stats requested by user, sorted by FeatureStatsAnomaly.start_time descending.

Instance Attribute Summary

• #feature_stats_anomaly ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureStatsAnomaly

  Stats and Anomaly generated at specific timestamp for specific Feature.

• #objective ⇒ String

  Output only.

Instance Method Summary

• #initialize(**args) ⇒ GoogleCloudAiplatformV1beta1FeatureMonitoringStatsAnomaly constructor

  A new instance of GoogleCloudAiplatformV1beta1FeatureMonitoringStatsAnomaly.

• #update!(**args) ⇒ Object

  Update properties of this object.

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1FeatureMonitoringStatsAnomaly

Returns a new instance of GoogleCloudAiplatformV1beta1FeatureMonitoringStatsAnomaly.

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10437

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#feature_stats_anomaly ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureStatsAnomaly

Stats and Anomaly generated at specific timestamp for specific Feature. The start_time and end_time are used to define the time range of the dataset that current stats belongs to, e.g. prediction traffic is bucketed into prediction datasets by time window. If the Dataset is not defined by time window, start_time = end_time. Timestamp of the stats and anomalies always refers to end_time. Raw stats and anomalies are stored in stats_uri or anomaly_uri in the tensorflow defined protos. Field data_stats contains almost identical information with the raw stats in Vertex AI defined proto, for UI to display. Corresponds to the JSON property featureStatsAnomaly

Returns:

• (Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeatureStatsAnomaly)

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10430

def feature_stats_anomaly
  @feature_stats_anomaly
end

#objective ⇒ String

Output only. The objective for each stats. Corresponds to the JSON property objective

Returns:

• (String)

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10435

def objective
  @objective
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 10442

def update!(**args)
  @feature_stats_anomaly = args[:feature_stats_anomaly] if args.key?(:feature_stats_anomaly)
  @objective = args[:objective] if args.key?(:objective)
end