Cloud AI Platform v1beta1 API - Class ModelMonitoringConfig (1.0.0-beta02) 

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

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

The model monitoring configuration used for Batch Prediction Job.

Inheritance

object > ModelMonitoringConfig

Namespace

Google.Cloud.AIPlatform.V1Beta1

Assembly

Google.Cloud.AIPlatform.V1Beta1.dll

Constructors

ModelMonitoringConfig()

public ModelMonitoringConfig()

ModelMonitoringConfig(ModelMonitoringConfig)

public ModelMonitoringConfig(ModelMonitoringConfig other)
Parameter
Name Description
other ModelMonitoringConfig

Properties

AlertConfig

public ModelMonitoringAlertConfig AlertConfig { get; set; }

Model monitoring alert config.

Property Value
Type Description
ModelMonitoringAlertConfig

AnalysisInstanceSchemaUri

public string AnalysisInstanceSchemaUri { get; set; }

YAML schema file uri in Cloud Storage describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.

If there are any data type differences between predict instance and TFDV instance, this field can be used to override the schema. For models trained with Vertex AI, this field must be set as all the fields in predict instance formatted as string.

Property Value
Type Description
string

ObjectiveConfigs

public RepeatedField<ModelMonitoringObjectiveConfig> ObjectiveConfigs { get; }

Model monitoring objective config.

Property Value
Type Description
RepeatedFieldModelMonitoringObjectiveConfig

StatsAnomaliesBaseDirectory

public GcsDestination StatsAnomaliesBaseDirectory { get; set; }

A Google Cloud Storage location for batch prediction model monitoring to dump statistics and anomalies. If not provided, a folder will be created in customer project to hold statistics and anomalies.

Property Value
Type Description
GcsDestination