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Class TensorboardTimeSeries (1.15.1)

TensorboardTimeSeries(
    tensorboard_time_series_name: str,
    tensorboard_id: Optional[str] = None,
    tensorboard_experiment_id: Optional[str] = None,
    tensorboard_run_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 > TensorboardTimeSeries

Methods

TensorboardTimeSeries

TensorboardTimeSeries(
    tensorboard_time_series_name: str,
    tensorboard_id: Optional[str] = None,
    tensorboard_experiment_id: Optional[str] = None,
    tensorboard_run_id: Optional[str] = None,
    project: Optional[str] = None,
    location: Optional[str] = None,
    credentials: Optional[google.auth.credentials.Credentials] = None,
)

Retrieves an existing tensorboard time series given a tensorboard time series name or ID.

Example Usage:

tb_ts = aiplatform.TensorboardTimeSeries(
    tensorboard_time_series_name="projects/123/locations/us-central1/tensorboards/456/experiments/789/run/1011/timeSeries/mse"
)

tb_ts = aiplatform.TensorboardTimeSeries(
    tensorboard_time_series_name= "mse",
    tensorboard_id = "456",
    tensorboard_experiment_id = "789"
    tensorboard_run_id = "1011"
)

Parameters

Name	Description
tensorboard_time_series_name	`str` Required. A fully-qualified tensorboard time series resource name or resource ID. Example: "projects/123/locations/us-central1/tensorboards/456/experiments/789/run/1011/timeSeries/mse" or "mse" when tensorboard_id, tensorboard_experiment_id, tensorboard_run_id are passed and project and location are initialized or passed.
tensorboard_id	`str` Optional. A tensorboard resource ID.
tensorboard_experiment_id	`str` Optional. A tensorboard experiment resource ID.
tensorboard_run_id	`str` Optional. A tensorboard run 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.

Exceptions

Type	Description
ValueError	if only one of tensorboard_id or tensorboard_experiment_id is provided.

create

create(
    display_name: str,
    tensorboard_run_name: str,
    tensorboard_id: Optional[str] = None,
    tensorboard_experiment_id: Optional[str] = None,
    value_type: Union[
        google.cloud.aiplatform_v1.types.tensorboard_time_series.TensorboardTimeSeries.ValueType,
        str,
    ] = "SCALAR",
    plugin_name: str = "scalars",
    plugin_data: Optional[bytes] = None,
    description: Optional[str] = None,
    project: Optional[str] = None,
    location: Optional[str] = None,
    credentials: Optional[google.auth.credentials.Credentials] = None,
)

Creates a new tensorboard time series.

Example Usage:

tb_ts = aiplatform.TensorboardTimeSeries.create(
    display_name='my display name',
    tensorboard_run_name='my-run'
    tensorboard_id='456'
    tensorboard_experiment_id='my-experiment'
    description='my description',
    labels={
        'key1': 'value1',
        'key2': 'value2'
    }
)

Parameters

Name	Description
display_name	`str` Optional. User provided name of this TensorboardTimeSeries. This value should be unique among all TensorboardTimeSeries resources belonging to the same TensorboardRun resource (parent resource).
tensorboard_run_name	`str` Required. The resource name or ID of the TensorboardRun to create the TensorboardTimeseries in. Resource name format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}` If resource ID is provided then tensorboard_id and tensorboard_experiment_id must be provided.
tensorboard_id	`str` Optional. The resource ID of the Tensorboard to create the TensorboardTimeSeries in.
tensorboard_experiment_id	`str` Optional. The ID of the TensorboardExperiment to create the TensorboardTimeSeries in.
value_type	`Union[gca_tensorboard_time_series.TensorboardTimeSeries.ValueType, str]` Optional. Type of TensorboardTimeSeries value. One of 'SCALAR', 'TENSOR', 'BLOB_SEQUENCE'.
plugin_name	`str` Optional. Name of the plugin this time series pertain to.
plugin_data	`bytes` Optional. Data of the current plugin, with the size limited to 65KB.
description	`str` Optional. Description of this TensorboardTimeseries.
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.

Returns

Type	Description
TensorboardTimeSeries	The TensorboardTimeSeries resource.

list

list(
    tensorboard_run_name: str,
    tensorboard_id: Optional[str] = None,
    tensorboard_experiment_id: Optional[str] = None,
    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 all instances of TensorboardTimeSeries in TensorboardRun.

Example Usage:

aiplatform.TensorboardTimeSeries.list(
    tensorboard_run_name='projects/my-project/locations/us-central1/tensorboards/123/experiments/my-experiment/runs/my-run'
)

Parameters

Name	Description
tensorboard_run_name	`str` Required. The resource name or ID of the TensorboardRun to list the TensorboardTimeseries from. Resource name format: `projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}/runs/{run}` If resource ID is provided then tensorboard_id and tensorboard_experiment_id must be provided.
tensorboard_id	`str` Optional. The resource ID of the Tensorboard to list the TensorboardTimeSeries from.
tensorboard_experiment_id	`str` Optional. The ID of the TensorboardExperiment to list the TensorboardTimeSeries from.
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.