Class IterationResult (2.18.0) 

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

Information about a single iteration of the training run. .. attribute:: index

Index of the iteration, 0 based.

:type: google.protobuf.wrappers_pb2.Int32Value

Attributes

NameDescription
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.

Inheritance

builtins.object > proto.message.Message > IterationResult

Classes

ArimaResult

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

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

Information about a single cluster for clustering model. .. attribute:: centroid_id

Centroid id.

:type: int

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.