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Add ClearML Agent flow clarification (#490)
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@@ -27,11 +27,18 @@ The diagram above demonstrates a typical flow where an agent executes a task:
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While the agent is running, it continuously reports system metrics to the ClearML Server (These can be monitored in the **Workers and Queues** page).
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Continue using **ClearML Agent** once it is running on a target machine. Reproduce experiments and execute
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Continue using ClearML Agent once it is running on a target machine. Reproduce experiments and execute
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automated workflows in one (or both) of the following ways:
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* Programmatically
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* By using the **ClearML Web UI** (without directly working with code), by enqueuing experiments
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to the queue that a **ClearML Agent** is listening to.
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* Programmatically (using [`Task.enqueue`](references/sdk/task.md#taskenqueue) or [`Task.execute_remotely`](references/sdk/task.md#execute_remotely))
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* Through the ClearML Web UI (without working directly with code), by cloning experiments and enqueuing them to the
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queue that a ClearML Agent is servicing.
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The agent facilitates [overriding task execution detail](webapp/webapp_exp_tuning.md) values through the UI without
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code modification. Modifying a task clone’s configuration will have the ClearML agent executing it override the
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original values:
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* Modified package requirements will have the experiment script run with updated packages
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* Modified recorded command line arguments will have the ClearML agent inject the new values in their stead
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* Code-level configuration instrumented with [`Task.connect`](references/sdk/task.md#connect) will be overridden by modified hyperparameters
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For more information, see [ClearML Agent Reference](clearml_agent/clearml_agent_ref.md),
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and [configuration options](configs/clearml_conf.md#agent-section).
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