Class FeatureMonitor (1.90.0) 

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

Vertex AI Feature Monitor.

Attributes
Name Description
name str
Identifier. Name of the FeatureMonitor. Format: projects/{project}/locations/{location}/featureGroups/{featureGroup}/featureMonitors/{featureMonitor}
create_time google.protobuf.timestamp_pb2.Timestamp
Output only. Timestamp when this FeatureMonitor was created.
update_time google.protobuf.timestamp_pb2.Timestamp
Output only. Timestamp when this FeatureMonitor was last updated.
etag str
Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
labels MutableMapping[str, str]
Optional. The labels with user-defined metadata to organize your FeatureMonitor. 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.
schedule_config google.cloud.aiplatform_v1beta1.types.ScheduleConfig
Required. Schedule config for the FeatureMonitor.
feature_selection_config google.cloud.aiplatform_v1beta1.types.FeatureSelectionConfig
Required. Feature selection config for the FeatureMonitor.

Classes

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

FeatureMonitor

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

Vertex AI Feature Monitor.