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.



16079
16080
16081
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16079

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) 


16054
16055
16056
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16054

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:



16060
16061
16062
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16060

def prediction_stats
  @prediction_stats
end

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

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

Returns:



16065
16066
16067
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16065

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:



16077
16078
16079
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16077

def training_stats
  @training_stats
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



16084
16085
16086
16087
16088
16089
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 16084

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