Class ModelDeploymentMonitoringBigQueryTable (1.50.0)

Version 1.50.0

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ModelDeploymentMonitoringBigQueryTable(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

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

Attributes
Name	Description
log_source	google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringBigQueryTable.LogSource The source of log.
log_type	google.cloud.aiplatform_v1.types.ModelDeploymentMonitoringBigQueryTable.LogType The type of log.
bigquery_table_path	str The created BigQuery table to store logs. Customer could do their own query & analysis. Format: bq://
request_response_logging_schema_version	str Output only. The schema version of the request/response logging BigQuery table. Default to v1 if unset.

Classes

LogSource

LogSource(value)

Indicates where does the log come from.

Enum values:

LOG_SOURCE_UNSPECIFIED (0):
    Unspecified source.
TRAINING (1):
    Logs coming from Training dataset.
SERVING (2):
    Logs coming from Serving traffic.

LogType

LogType(value)

Indicates what type of traffic does the log belong to.

Enum values:

LOG_TYPE_UNSPECIFIED (0):
    Unspecified type.
PREDICT (1):
    Predict logs.
EXPLAIN (2):
    Explain logs.

Methods

ModelDeploymentMonitoringBigQueryTable

ModelDeploymentMonitoringBigQueryTable(
    mapping=None, *, ignore_unknown_fields=False, **kwargs
)

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