Class ModelMonitoringObjectiveSpec (1.158.0)

1.158.0 (latest) 1.157.0 1.156.0 1.155.0 1.154.0 1.153.1 1.152.0 1.151.0 1.150.0 1.149.0 1.148.1 1.147.0 1.146.0 1.145.0 1.144.0 1.143.0 1.142.0 1.141.0 1.140.0 1.139.0 1.138.0 1.137.0 1.136.0 1.135.0 1.134.0 1.133.0 1.132.0 1.131.0 1.130.0 1.129.0 1.122.0 1.121.0 1.120.0 1.119.0 1.118.0 1.117.0 1.116.0 1.115.0 1.114.0 1.113.0 1.112.0 1.111.0 1.110.0 1.109.0 1.108.0 1.107.0 1.106.0 1.105.0 1.104.0 1.103.0 1.102.0 1.101.0 1.100.0 1.99.0 1.98.0 1.97.0 1.96.0 1.95.1 1.94.0 1.93.1 1.92.0 1.91.0 1.90.0 1.89.0 1.88.0 1.87.0 1.86.0 1.85.0 1.84.0 1.83.0 1.82.0 1.81.0 1.80.0 1.79.0 1.78.0 1.77.0 1.76.0 1.75.0 1.74.0 1.73.0 1.72.0 1.71.1 1.70.0 1.69.0 1.68.0 1.67.1 1.66.0 1.65.0 1.63.0 1.62.0 1.60.0 1.59.0 1.58.0 1.57.0 1.56.0 1.55.0 1.54.1 1.53.0 1.52.0 1.51.0 1.50.0 1.49.0 1.48.0 1.47.0 1.46.0 1.45.0 1.44.0 1.43.0 1.39.0 1.38.1 1.37.0 1.36.4 1.35.0 1.34.0 1.33.1 1.32.0 1.31.1 1.30.1 1.29.0 1.28.1 1.27.1 1.26.1 1.25.0 1.24.1 1.23.0 1.22.1 1.21.0 1.20.0 1.19.1 1.18.3 1.17.1 1.16.1 1.15.1 1.14.0 1.13.1 1.12.1 1.11.0 1.10.0 1.9.0 1.8.1 1.7.1 1.6.2 1.5.0 1.4.3 1.3.0 1.2.0 1.1.1 1.0.1 0.9.0 0.8.0 0.7.1 0.6.0 0.5.1 0.4.0 0.3.1

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

Monitoring objectives spec.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Attributes
Name	Description
tabular_objective	google.cloud.aiplatform_v1beta1.types.ModelMonitoringObjectiveSpec.TabularObjective Tabular monitoring objective. This field is a member of oneof_ objective.
explanation_spec	google.cloud.aiplatform_v1beta1.types.ExplanationSpec The explanation spec. This spec is required when the objectives spec includes feature attribution objectives.
baseline_dataset	google.cloud.aiplatform_v1beta1.types.ModelMonitoringInput Baseline dataset. It could be the training dataset or production serving dataset from a previous period.
target_dataset	google.cloud.aiplatform_v1beta1.types.ModelMonitoringInput Target dataset.

Classes

DataDriftSpec

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

Data drift monitoring spec. Data drift measures the distribution distance between the current dataset and a baseline dataset. A typical use case is to detect data drift between the recent production serving dataset and the training dataset, or to compare the recent production dataset with a dataset from a previous period.

FeatureAttributionSpec

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

Feature attribution monitoring spec.

TabularObjective

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

Tabular monitoring objective.

Methods

ModelMonitoringObjectiveSpec

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

Monitoring objectives spec.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields