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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class TensorboardRun.
TensorboardRun maps to a specific execution of a training job with a given set of hyperparameter values, model definition, dataset, etc
Generated from protobuf message google.cloud.aiplatform.v1.TensorboardRun
Namespace
Google \ Cloud \ AIPlatform \ V1Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ name
string
Output only. Name of the TensorboardRun. Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
↳ display_name
string
Required. User provided name of this TensorboardRun. This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.
↳ description
string
Description of this TensorboardRun.
↳ create_time
↳ update_time
↳ labels
array| Google\Protobuf\Internal\MapField
The labels with user-defined metadata to organize your TensorboardRuns. This field will be used to filter and visualize Runs in the Tensorboard UI. For example, a Vertex AI training job can set a label aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created within that job. An end user can set a label experiment_id=xxxxx for all the runs produced in a Jupyter notebook. These runs can be grouped by a label value and visualized together in the Tensorboard UI. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one TensorboardRun (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
↳ etag
string
Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
getName
Output only. Name of the TensorboardRun.
Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
string
setName
Output only. Name of the TensorboardRun.
Format: projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}
var
string
$this
getDisplayName
Required. User provided name of this TensorboardRun.
This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.
string
setDisplayName
Required. User provided name of this TensorboardRun.
This value must be unique among all TensorboardRuns belonging to the same parent TensorboardExperiment.
var
string
$this
getDescription
Description of this TensorboardRun.
string
setDescription
Description of this TensorboardRun.
var
string
$this
getCreateTime
Output only. Timestamp when this TensorboardRun was created.
hasCreateTime
clearCreateTime
setCreateTime
Output only. Timestamp when this TensorboardRun was created.
$this
getUpdateTime
Output only. Timestamp when this TensorboardRun was last updated.
hasUpdateTime
clearUpdateTime
setUpdateTime
Output only. Timestamp when this TensorboardRun was last updated.
$this
getLabels
The labels with user-defined metadata to organize your TensorboardRuns.
This field will be used to filter and visualize Runs in the Tensorboard UI. For example, a Vertex AI training job can set a label aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created within that job. An end user can set a label experiment_id=xxxxx for all the runs produced in a Jupyter notebook. These runs can be grouped by a label value and visualized together in the Tensorboard UI. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one TensorboardRun (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
setLabels
The labels with user-defined metadata to organize your TensorboardRuns.
This field will be used to filter and visualize Runs in the Tensorboard UI. For example, a Vertex AI training job can set a label aiplatform.googleapis.com/training_job_id=xxxxx to all the runs created within that job. An end user can set a label experiment_id=xxxxx for all the runs produced in a Jupyter notebook. These runs can be grouped by a label value and visualized together in the Tensorboard UI. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. No more than 64 user labels can be associated with one TensorboardRun (System labels are excluded). See https://goo.gl/xmQnxf for more information and examples of labels. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
$this
getEtag
Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
string
setEtag
Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
var
string
$this
