ModelMonitoringConfig class final

The model monitoring configuration used for Batch Prediction Job.

Inheritance
  • Object
  • ProtoMessage
  • ModelMonitoringConfig

Constructors

ModelMonitoringConfig({List<ModelMonitoringObjectiveConfig> objectiveConfigs = const [], ModelMonitoringAlertConfig? alertConfig, String analysisInstanceSchemaUri = '', GcsDestination? statsAnomaliesBaseDirectory})
ModelMonitoringConfig.fromJson(Object? j)
factory

Properties

alertConfig → ModelMonitoringAlertConfig?
Model monitoring alert config.
final
analysisInstanceSchemaUri → String
YAML schema file uri in Cloud Storage describing the format of a single instance that you want Tensorflow Data Validation (TFDV) to analyze.
final
hashCode → int
The hash code for this object.
no setterinherited
objectiveConfigs → List<ModelMonitoringObjectiveConfig>
Model monitoring objective config.
final
qualifiedName → String
The fully qualified name of this message, i.e., google.protobuf.Duration or google.rpc.ErrorInfo.
finalinherited
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
statsAnomaliesBaseDirectory → GcsDestination?
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.
final

Methods

noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
toJson() → Object
override
toString() → String
A string representation of this object.
override

Operators

operator ==(Object other) → bool
The equality operator.
inherited

Constants

fullyQualifiedName → const String