TensorBoardJobService Class
TensorBoard job service configuration.
- Inheritance
-
azure.ai.ml.entities._job.job_service.JobServiceBaseTensorBoardJobService
Constructor
TensorBoardJobService(*, endpoint: str | None = None, nodes: Literal['all'] | None = None, status: str | None = None, port: int | None = None, log_dir: str | None = None, properties: Dict[str, str] | None = None, **kwargs: Any)
Keyword-Only Parameters
Name | Description |
---|---|
endpoint
|
The endpoint URL. |
port
|
The port for the endpoint. |
nodes
|
Indicates whether the service has to run in all nodes. |
properties
|
Additional properties to set on the endpoint. |
status
|
The status of the endpoint. |
log_dir
|
The directory path for the log file. |
kwargs
|
A dictionary of additional configuration parameters. |
Examples
Configuring TensorBoardJobService configuration on a command job.
from azure.ai.ml import command
from azure.ai.ml.entities import JupyterLabJobService, SshJobService, TensorBoardJobService, VsCodeJobService
node = command(
name="interactive-command-job",
description="description",
environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu:33",
command="ls",
compute="testCompute",
services={
"my_ssh": SshJobService(),
"my_tensorboard": TensorBoardJobService(log_dir="~/blog"),
"my_jupyter_lab": JupyterLabJobService(),
"my_vscode": VsCodeJobService(),
},
)
Variables
Name | Description |
---|---|
type
|
Specifies the type of job service. Set automatically to "tensor_board" for this class. |
Methods
get | |
has_key | |
items | |
keys | |
update | |
values |
get
get(key: Any, default: Any | None = None) -> Any
Parameters
Name | Description |
---|---|
key
Required
|
|
default
Required
|
Default value: None
|
has_key
has_key(k: Any) -> bool
Parameters
Name | Description |
---|---|
k
Required
|
|
items
items() -> list
keys
keys() -> list
update
update(*args: Any, **kwargs: Any) -> None
values
values() -> list
Zusammenarbeit auf GitHub
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Azure SDK for Python