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Change terminology (#1028)

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pollfly
2025-02-06 17:31:11 +02:00
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@@ -19,7 +19,7 @@ task = Task.init(task_name="<task_name>", project_name="<project_name>")
This will create a [ClearML Task](../fundamentals/task.md) that captures your script's information, including Git details,
uncommitted code, python environment, your TensorBoard metrics, plots, images, and text.
View the TensorBoard outputs in the [WebApp](../webapp/webapp_overview.md), in the experiment's page.
View the TensorBoard outputs in the [WebApp](../webapp/webapp_overview.md), in the task's page.
![TensorBoard WebApp scalars](../img/examples_pytorch_tensorboard_07.png)
@@ -27,7 +27,7 @@ View the TensorBoard outputs in the [WebApp](../webapp/webapp_overview.md), in t
## Automatic Logging Control
By default, when ClearML is integrated into your script, it captures all of your TensorBoard plots, images, and metrics.
But, you may want to have more control over what your experiment logs.
But, you may want to have more control over what your task logs.
To control a task's framework logging, use the `auto_connect_frameworks` parameter of [`Task.init()`](../references/sdk/task.md#taskinit).
Completely disable all automatic logging by setting the parameter to `False`. For finer grained control of logged