Class TensorboardRun (1.1.1)

Version 1.1.1

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

TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etc

Attributes

Name	Description
name	str Output only. Name of the TensorboardRun. Format: ``projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}``
display_name	str Required. User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.
description	str Description of this TensorboardRun.
create_time	google.protobuf.timestamp_pb2.Timestamp Output only. Timestamp when this TensorboardRun was created.
update_time	google.protobuf.timestamp_pb2.Timestamp Output only. Timestamp when this TensorboardRun was last updated.
etag	str Used to perform a consistent read-modify- rite updates. If not set, a blind "overwrite" update happens.

Inheritance

builtins.object > proto.message.Message > TensorboardRun

Classes

LabelsEntry

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

The abstract base class for a message.

Parameters

Name	Description
kwargs	dict Keys and values corresponding to the fields of the message.
mapping	Union[dict, `.Message`] A dictionary or message to be used to determine the values for this message.
ignore_unknown_fields	Optional(bool) If True, do not raise errors for unknown fields. Only applied if mapping is a mapping type or there are keyword parameters.