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. |
Inheritance
builtins.object > proto.message.Message > IterationResultClasses
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.
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.