Class TensorboardExperiment (1.17.0) 

TensorboardExperiment(
    tensorboard_experiment_name: str,
    tensorboard_id: Optional[str] = None,
    project: Optional[str] = None,
    location: Optional[str] = None,
    credentials: Optional[google.auth.credentials.Credentials] = None,
)

Managed tensorboard resource for Vertex AI.

Inheritance

builtins.object > google.cloud.aiplatform.base.VertexAiResourceNoun > builtins.object > google.cloud.aiplatform.base.FutureManager > google.cloud.aiplatform.base.VertexAiResourceNounWithFutureManager > google.cloud.aiplatform.tensorboard.tensorboard_resource._TensorboardServiceResource > TensorboardExperiment

Methods

TensorboardExperiment

TensorboardExperiment(
    tensorboard_experiment_name: str,
    tensorboard_id: Optional[str] = None,
    project: Optional[str] = None,
    location: Optional[str] = None,
    credentials: Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing tensorboard experiment given a tensorboard experiment name or ID.

Example Usage:

tb_exp = aiplatform.TensorboardExperiment(
    tensorboard_experiment_name= "projects/123/locations/us-central1/tensorboards/456/experiments/678"
)

tb_exp = aiplatform.TensorboardExperiment(
    tensorboard_experiment_name= "678"
    tensorboard_id = "456"
)
Parameters
NameDescription
tensorboard_experiment_name str

Required. A fully-qualified tensorboard experiment resource name or resource ID. Example: "projects/123/locations/us-central1/tensorboards/456/experiments/678" or "678" when tensorboard_id is passed and project and location are initialized or passed.

tensorboard_id str

Optional. A tensorboard resource ID.

project str

Optional. Project to retrieve tensorboard from. If not set, project set in aiplatform.init will be used.

location str

Optional. Location to retrieve tensorboard from. If not set, location set in aiplatform.init will be used.

credentials auth_credentials.Credentials

Optional. Custom credentials to use to retrieve this Tensorboard. Overrides credentials set in aiplatform.init.

create

create(
    tensorboard_experiment_id: str,
    tensorboard_name: str,
    display_name: Optional[str] = None,
    description: Optional[str] = None,
    labels: Optional[Dict[str, str]] = None,
    project: Optional[str] = None,
    location: Optional[str] = None,
    credentials: Optional[google.auth.credentials.Credentials] = None,
    request_metadata: Sequence[Tuple[str, str]] = (),
    create_request_timeout: Optional[float] = None,
)

Creates a new TensorboardExperiment.

Example Usage:

tb_exp = aiplatform.TensorboardExperiment.create(
    tensorboard_experiment_id='my-experiment'
    tensorboard_id='456'
    display_name='my display name',
    description='my description',
    labels={
        'key1': 'value1',
        'key2': 'value2'
    }
)
Parameters
NameDescription
tensorboard_experiment_id str

Required. The ID to use for the Tensorboard experiment, which will become the final component of the Tensorboard experiment's resource name. This value should be 1-128 characters, and valid characters are /a-z][0-9]-/. This corresponds to the tensorboard_experiment_id field on the request instance; if request is provided, this should not be set.

tensorboard_name str

Required. The resource name or ID of the Tensorboard to create the TensorboardExperiment in. Format of resource name: projects/{project}/locations/{location}/tensorboards/{tensorboard}

display_name str

Optional. The user-defined name of the Tensorboard Experiment. The name can be up to 128 characters long and can be consist of any UTF-8 characters.

description str

Optional. Description of this Tensorboard Experiment.

labels Dict[str, str]

Optional. Labels with user-defined metadata to organize your Tensorboards. 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 Tensorboard (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.

project str

Optional. Project to upload this model to. Overrides project set in aiplatform.init.

location str

Optional. Location to upload this model to. Overrides location set in aiplatform.init.

credentials auth_credentials.Credentials

Optional. Custom credentials to use to upload this model. Overrides credentials set in aiplatform.init.

request_metadata Sequence[Tuple[str, str]]

Optional. Strings which should be sent along with the request as metadata.

create_request_timeout float

Optional. The timeout for the create request in seconds.

Returns
TypeDescription
TensorboardExperimentThe TensorboardExperiment resource.

list

list(
    tensorboard_name: str,
    filter: Optional[str] = None,
    order_by: Optional[str] = None,
    project: Optional[str] = None,
    location: Optional[str] = None,
    credentials: Optional[google.auth.credentials.Credentials] = None,
)

List TensorboardExperiemnts in a Tensorboard resource.

Example Usage:

aiplatform.TensorboardExperiment.list(
    tensorboard_name='projects/my-project/locations/us-central1/tensorboards/123'
)
Parameters
NameDescription
tensorboard_name str

Required. The resource name or resource ID of the Tensorboard to list TensorboardExperiments. Format, if resource name: 'projects/{project}/locations/{location}/tensorboards/{tensorboard}'

filter str

Optional. An expression for filtering the results of the request. For field names both snake_case and camelCase are supported.

order_by str

Optional. A comma-separated list of fields to order by, sorted in ascending order. Use "desc" after a field name for descending. Supported fields: display_name, create_time, update_time

project str

Optional. Project to retrieve list from. If not set, project set in aiplatform.init will be used.

location str

Optional. Location to retrieve list from. If not set, location set in aiplatform.init will be used.

credentials auth_credentials.Credentials

Optional. Custom credentials to use to retrieve list. Overrides credentials set in aiplatform.init.