Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringBigQueryTable (v0.19.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringBigQueryTable.

ModelDeploymentMonitoringBigQueryTable specifies the BigQuery table name as well as some information of the logs stored in this table.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#bigquery_table_path

def bigquery_table_path() -> ::String
Returns
  • (::String) — The created BigQuery table to store logs. Customer could do their own query & analysis. Format: bq://<project_id>.model_deployment_monitoring_<endpoint_id>.<tolower(log_source)>_<tolower(log_type)>

#bigquery_table_path=

def bigquery_table_path=(value) -> ::String
Parameter
  • value (::String) — The created BigQuery table to store logs. Customer could do their own query & analysis. Format: bq://<project_id>.model_deployment_monitoring_<endpoint_id>.<tolower(log_source)>_<tolower(log_type)>
Returns
  • (::String) — The created BigQuery table to store logs. Customer could do their own query & analysis. Format: bq://<project_id>.model_deployment_monitoring_<endpoint_id>.<tolower(log_source)>_<tolower(log_type)>

#log_source

def log_source() -> ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringBigQueryTable::LogSource
Returns

#log_source=

def log_source=(value) -> ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringBigQueryTable::LogSource
Parameter
Returns

#log_type

def log_type() -> ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringBigQueryTable::LogType
Returns

#log_type=

def log_type=(value) -> ::Google::Cloud::AIPlatform::V1::ModelDeploymentMonitoringBigQueryTable::LogType
Parameter
Returns