Class FeatureMonitorJob (1.156.0)

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

Vertex AI Feature Monitor Job.

Attributes
Name	Description
name	str Identifier. Name of the FeatureMonitorJob. Format: projects/{project}/locations/{location}/featureGroups/{feature_group}/featureMonitors/{feature_monitor}/featureMonitorJobs/{feature_monitor_job}.
create_time	google.protobuf.timestamp_pb2.Timestamp Output only. Timestamp when this FeatureMonitorJob was created. Creation of a FeatureMonitorJob means that the job is pending / waiting for sufficient resources but may not have started running yet.
final_status	google.rpc.status_pb2.Status Output only. Final status of the FeatureMonitorJob.
job_summary	google.cloud.aiplatform_v1beta1.types.FeatureMonitorJob.JobSummary Output only. Summary from the FeatureMonitorJob.
labels	MutableMapping[str, str] Optional. The labels with user-defined metadata to organize your FeatureMonitorJob. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureMonitor(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
description	str Optional. Description of the FeatureMonitor.
drift_base_feature_monitor_job_id	int Output only. FeatureMonitorJob ID comparing to which the drift is calculated.
drift_base_snapshot_time	google.protobuf.timestamp_pb2.Timestamp Output only. Data snapshot time comparing to which the drift is calculated.
feature_selection_config	google.cloud.aiplatform_v1beta1.types.FeatureSelectionConfig Output only. Feature selection config used when creating FeatureMonitorJob.
trigger_type	google.cloud.aiplatform_v1beta1.types.FeatureMonitorJob.FeatureMonitorJobTrigger Output only. Trigger type of the Feature Monitor Job.

Classes

FeatureMonitorJobTrigger

FeatureMonitorJobTrigger(value)

Choices of the trigger type.

JobSummary

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

Summary from the FeatureMonitorJob.

LabelsEntry

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

The abstract base class for a message.

Parameters
Name	Description
kwargs	dict Keys and values corresponding to the fields of the message.
mapping	Union[dict, .Message] A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields	Optional(bool) If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.

Methods

FeatureMonitorJob

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

Vertex AI Feature Monitor Job.