Google Cloud Ai Platform V1 Client - Class ModelDeploymentMonitoringBigQueryTable (0.10.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class ModelDeploymentMonitoringBigQueryTable.

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

Generated from protobuf message google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable

Methods

__construct

Constructor.

Parameters
NameDescription
data array

Optional. Data for populating the Message object.

↳ log_source int

The source of log.

↳ log_type int

The type of log.

↳ bigquery_table_path 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)>

getLogSource

The source of log.

Generated from protobuf field .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable.LogSource log_source = 1;

Returns
TypeDescription
int

setLogSource

The source of log.

Generated from protobuf field .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable.LogSource log_source = 1;

Parameter
NameDescription
var int
Returns
TypeDescription
$this

getLogType

The type of log.

Generated from protobuf field .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable.LogType log_type = 2;

Returns
TypeDescription
int

setLogType

The type of log.

Generated from protobuf field .google.cloud.aiplatform.v1.ModelDeploymentMonitoringBigQueryTable.LogType log_type = 2;

Parameter
NameDescription
var int
Returns
TypeDescription
$this

getBigqueryTablePath

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)>

Generated from protobuf field string bigquery_table_path = 3;

Returns
TypeDescription
string

setBigqueryTablePath

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)>

Generated from protobuf field string bigquery_table_path = 3;

Parameter
NameDescription
var string
Returns
TypeDescription
$this