Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfig

Inherits:

Object

• Object
• Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfig

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

The config for Featurestore Monitoring threshold.

Instance Attribute Summary

• #value ⇒ Float

  Specify a threshold value that can trigger the alert.

Instance Method Summary

• #initialize(**args) ⇒ GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfig constructor

  A new instance of GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfig.

• #update!(**args) ⇒ Object

  Update properties of this object.

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfig

Returns a new instance of GoogleCloudAiplatformV1beta1FeaturestoreMonitoringConfigThresholdConfig.

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11817

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

Instance Attribute Details

#value ⇒ Float

Specify a threshold value that can trigger the alert. 1. For categorical feature, the distribution distance is calculated by L-inifinity norm. 2. For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature. Corresponds to the JSON property value

Returns:

• (Float)

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11815

def value
  @value
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object

# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 11822

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