Class EvaluationMetrics (3.0.1)

Version 3.0.1

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

Evaluation metrics of a model. These are either computed on all training data or just the eval data based on whether eval data was used during training. These are not present for imported models.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

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

Attributes

Name	Description
regression_metrics	google.cloud.bigquery_v2.types.Model.RegressionMetrics Populated for regression models and explicit feedback type matrix factorization models. This field is a member of `oneof`_ ``metrics``.
binary_classification_metrics	google.cloud.bigquery_v2.types.Model.BinaryClassificationMetrics Populated for binary classification/classifier models. This field is a member of `oneof`_ ``metrics``.
multi_class_classification_metrics	google.cloud.bigquery_v2.types.Model.MultiClassClassificationMetrics Populated for multi-class classification/classifier models. This field is a member of `oneof`_ ``metrics``.
clustering_metrics	google.cloud.bigquery_v2.types.Model.ClusteringMetrics Populated for clustering models. This field is a member of `oneof`_ ``metrics``.
ranking_metrics	google.cloud.bigquery_v2.types.Model.RankingMetrics Populated for implicit feedback type matrix factorization models. This field is a member of `oneof`_ ``metrics``.
arima_forecasting_metrics	google.cloud.bigquery_v2.types.Model.ArimaForecastingMetrics Populated for ARIMA models. This field is a member of `oneof`_ ``metrics``.

Inheritance

builtins.object > proto.message.Message > EvaluationMetrics

Methods

__delattr__

__delattr__(key)

Delete the value on the given field.

This is generally equivalent to setting a falsy value.

__eq__

__eq__(other)

Return True if the messages are equal, False otherwise.

__ne__

__ne__(other)

Return True if the messages are unequal, False otherwise.

__setattr__

__setattr__(key, value)

Set the value on the given field.

For well-known protocol buffer types which are marshalled, either the protocol buffer object or the Python equivalent is accepted.