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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 .
|
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.