Cloud AI Platform v1beta1 API - Class ThresholdConfig (1.0.0-beta03)

Version 1.0.0-beta03

• 1.0.0-beta09 (latest)
• 1.0.0-beta08

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

Reference documentation and code samples for the Cloud AI Platform v1beta1 API class ThresholdConfig.

The config for feature monitoring threshold.

Inheritance

object > ThresholdConfig

Implements

IMessageThresholdConfig, IEquatableThresholdConfig, IDeepCloneableThresholdConfig, IBufferMessage, IMessage

Inherited Members

object.GetHashCode()

object.GetType()

object.ToString()

Namespace

Google.Cloud.AIPlatform.V1Beta1

Assembly

Google.Cloud.AIPlatform.V1Beta1.dll

Constructors

ThresholdConfig()

public ThresholdConfig()

ThresholdConfig(ThresholdConfig)

public ThresholdConfig(ThresholdConfig other)

Parameter
Name	Description
other	ThresholdConfig

Properties

HasValue

public bool HasValue { get; }

Gets whether the "value" field is set

Property Value
Type	Description
bool

ThresholdCase

public ThresholdConfig.ThresholdOneofCase ThresholdCase { get; }

Property Value
Type	Description
ThresholdConfigThresholdOneofCase

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