Class IterationResult (3.12.0)

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

Information about a single iteration of the training run.

Attributes
Name	Description
`index`	`google.protobuf.wrappers_pb2.Int32Value` Index of the iteration, 0 based.
`duration_ms`	`google.protobuf.wrappers_pb2.Int64Value` Time taken to run the iteration in milliseconds.
`training_loss`	`google.protobuf.wrappers_pb2.DoubleValue` Loss computed on the training data at the end of iteration.
`eval_loss`	`google.protobuf.wrappers_pb2.DoubleValue` Loss computed on the eval data at the end of iteration.
`learn_rate`	`float` Learn rate used for this iteration.
`cluster_infos`	`Sequence[google.cloud.bigquery_v2.types.Model.TrainingRun.IterationResult.ClusterInfo]` Information about top clusters for clustering models.

Classes

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

(Auto-)arima fitting result. Wrap everything in ArimaResult for easier refactoring if we want to use model-specific iteration results.

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

Information about a single cluster for clustering model.

__delattr__(key)

Delete the value on the given field.

This is generally equivalent to setting a falsy value.

__eq__(other)

Return True if the messages are equal, False otherwise.

__ne__(other)

Return True if the messages are unequal, False otherwise.

__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.