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Change terminology (#1028)
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@@ -21,14 +21,14 @@ task = Task.init(task_name="<task_name>", project_name="<project_name>")
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```
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When the code runs, ClearML logs your command-line arguments, which you can view in the [WebApp](../webapp/webapp_overview.md),
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in the experiment's **Configuration > Hyperparameters > Args** section.
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in the task's **Configuration > Hyperparameters > Args** section.
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### Automatic Logging Control
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By default, when ClearML is integrated into your script, it captures all of your `jsonargparse` parameters.
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But, you may want to have more control over what your experiment logs. To control a task's logging of parameters from
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But, you may want to have more control over what your task logs. To control a task's logging of parameters from
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argument parsers, use the `auto_connect_arg_parser` parameter of [`Task.init()`](../references/sdk/task.md#taskinit).
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Completely disable all automatic logging by setting the parameter to `False`.
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@@ -59,7 +59,7 @@ The agent executes the code with the modifications you made in the UI, even over
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In the case that you connected a jsonargparse configuration file (e.g. with LightningCLI), make sure to set the
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`_ignore_ui_overrides` to `False` in the **CONFIGURATION > HYPERPARAMETERS > ARGS** section. That way, after the customized
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experiment is enqueued, the task will use the new values during execution.
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task is enqueued, the task will use the new values during execution.
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## Code Examples
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