Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ModelMonitoringStatsAnomaliesFeatureHistoricStatsAnomalies

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb

Overview

Historical Stats (and Anomalies) for a specific Feature.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1ModelMonitoringStatsAnomaliesFeatureHistoricStatsAnomalies

Returns a new instance of GoogleCloudAiplatformV1ModelMonitoringStatsAnomaliesFeatureHistoricStatsAnomalies.



25886
25887
25888
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 25886

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

Instance Attribute Details

#feature_display_name ⇒ String

Display Name of the Feature. Corresponds to the JSON property featureDisplayName

Returns:

  • (String) 


25861
25862
25863
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 25861

def feature_display_name
  @feature_display_name
end

#prediction_stats ⇒ Array<Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureStatsAnomaly>

A list of historical stats generated by different time window's Prediction Dataset. Corresponds to the JSON property predictionStats

Returns:



25867
25868
25869
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 25867

def prediction_stats
  @prediction_stats
end

#threshold ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ThresholdConfig

The config for feature monitoring threshold. Corresponds to the JSON property threshold

Returns:



25872
25873
25874
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 25872

def threshold
  @threshold
end

#training_stats ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1FeatureStatsAnomaly

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 trainingStats

Returns:



25884
25885
25886
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 25884

def training_stats
  @training_stats
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



25891
25892
25893
25894
25895
25896
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 25891

def update!(**args)
  @feature_display_name = args[:feature_display_name] if args.key?(:feature_display_name)
  @prediction_stats = args[:prediction_stats] if args.key?(:prediction_stats)
  @threshold = args[:threshold] if args.key?(:threshold)
  @training_stats = args[:training_stats] if args.key?(:training_stats)
end