Class ThresholdConfig (1.0.0)

Version 1.0.0

• 3.10.0 (latest)
• 3.9.0
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.0
• 3.3.0
• 3.2.0
• 3.1.0
• 3.0.0
• 2.28.0
• 2.27.0
• 2.26.0
• 2.25.0
• 2.24.0
• 2.23.0
• 2.22.0
• 2.21.0
• 2.20.0
• 2.19.0
• 2.18.0
• 2.17.0
• 2.16.0
• 2.15.0
• 2.14.0
• 2.13.0
• 2.12.0
• 2.11.0
• 2.10.0
• 2.9.0
• 2.8.0
• 2.7.0
• 2.6.0
• 2.5.0
• 2.4.0
• 2.3.0
• 2.2.0
• 2.1.0
• 2.0.0
• 1.8.0
• 1.7.0
• 1.6.0
• 1.5.0
• 1.4.0
• 1.3.0
• 1.2.0
• 1.1.0
• 1.0.0

public sealed class ThresholdConfig : IMessage<ThresholdConfig>, IEquatable<ThresholdConfig>, IDeepCloneable<ThresholdConfig>, IBufferMessage, IMessage

The config for feature monitoring threshold. Next ID: 3

Inheritance

Object > ThresholdConfig

Implements

IMessage<ThresholdConfig>, IEquatable<ThresholdConfig>, IDeepCloneable<ThresholdConfig>, IBufferMessage, IMessage

Inherited Members

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ToString()

Namespace

Google.Cloud.AIPlatform.V1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

ThresholdConfig()

public ThresholdConfig()

ThresholdConfig(ThresholdConfig)

public ThresholdConfig(ThresholdConfig other)

Parameter
Name	Description
other	ThresholdConfig

Properties

ThresholdCase

public ThresholdConfig.ThresholdOneofCase ThresholdCase { get; }

Property Value
Type	Description
ThresholdConfig.ThresholdOneofCase

Value

public double Value { get; set; }

Specify a threshold value that can trigger the alert. If this threshold config is for feature distribution distance:

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.

Property Value
Type	Description
Double