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public sealed class ThresholdConfig : IMessage<ThresholdConfig>, IEquatable<ThresholdConfig>, IDeepCloneable<ThresholdConfig>, IBufferMessage, IMessage
Reference documentation and code samples for the Cloud AI Platform v1 API class ThresholdConfig.
The config for feature monitoring threshold.
Implements
IMessage<ThresholdConfig>, IEquatable<ThresholdConfig>, IDeepCloneable<ThresholdConfig>, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Assembly
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:
- For categorical feature, the distribution distance is calculated by L-inifinity norm.
- 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 |