TensorboardRun class final

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

Inheritance

Constructors

TensorboardRun({String name = '', required String displayName, String description = '', Timestamp? createTime, Timestamp? updateTime, Map<String, String> labels = const {}, String etag = ''})
TensorboardRun.fromJson(Map<String, dynamic> json): factory

createTime → Timestamp?: Output only. Timestamp when this TensorboardRun was created.
final
description → String: Description of this TensorboardRun.
final
displayName → String: Required. User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.
final
etag → String: Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
final
hashCode → int: The hash code for this object.
no setterinherited
labels → Map<String, String>: The labels with user-defined metadata to organize your TensorboardRuns.
final
name → String: Output only. Name of the TensorboardRun. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
final
qualifiedName → String: The fully qualified name of this message, i.e., google.protobuf.Duration or google.rpc.ErrorInfo.
finalinherited
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited
updateTime → Timestamp?: Output only. Timestamp when this TensorboardRun was last updated.
final

noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
toJson() → Object: override
toString() → String: A string representation of this object.
override