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docs/getting_started/mlops/mlops_best_practices.md
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@@ -17,11 +17,11 @@ If you are afraid of clutter, use the archive option, and set up your own [clean
These metrics can later be part of your own in-house monitoring solution, don't let good data go to waste :)
## Clone Tasks
In order to define a Task in ClearML we have two options
Define a ClearML Task with one of the following options:
- Run the actual code with `Task.init` call. This will create and auto-populate the Task in CleaML (including Git Repo / Python Packages / Command line etc.).
- Register local / remote code repository with `clearml-task`. See [details](../../apps/clearml_task.md).
Once we have a Task in ClearML, we can clone and edit its definitions in the UI, then launch it on one of our nodes with [ClearML Agent](../../clearml_agent.md).
Once you have a Task in ClearML, you can clone and edit its definitions in the UI, then launch it on one of your nodes with [ClearML Agent](../../clearml_agent.md).
## Advanced Automation
- Create daily / weekly cron jobs for retraining best performing models on.