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Add pipeline clone (#996)

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docs/pipelines/pipelines.md
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@ -85,11 +85,24 @@ the execution of every task in a pipeline. Additionally, you can create customiz
When you run your pipeline, ClearML collects and stores all the information required to reproduce the run (DAG, When you run your pipeline, ClearML collects and stores all the information required to reproduce the run (DAG,
configuration, installed packages, uncommitted changes etc.). configuration, installed packages, uncommitted changes etc.).
You can rerun the pipeline via the [ClearML Web UI](../webapp/pipelines/webapp_pipeline_table.md). To launch a new run You can rerun the pipeline programmatically or via the ClearML Web UI:
for a pipeline, click **+ NEW RUN** on the top left of the pipeline runs page. This opens a **NEW RUN** modal, where you * To programmatically create a new run, use [`PipelineController.clone()`](../references/sdk/automation_controller_pipelinecontroller.md#pipelinecontrollerclone)
which returns a copy of the original pipeline in [*draft*](../fundamentals/task.md#task-states) state, allowing you to
modify any configuration. Run the new pipeline using [`PipelineController.start()`](../references/sdk/automation_controller_pipelinecontroller.md#start).
```python
pipeline = PipelineController.get(pipeline_id="<pipeline_ID>")
cloned_pipeline = PipelineController.clone(pipeline_controller=pipeline)
# tweak pipeline parameters
cloned_pipeline.start()
```
* To launch a new pipeline run in the UI, click **+ NEW RUN** in the [pipeline runs](../webapp/pipelines/webapp_pipeline_table.md) page. This opens a **NEW RUN** modal, where you
can set the run's parameters and execution queue. can set the run's parameters and execution queue.
![Pipeline params UI](../img/pipelines_new_run.png) ![Pipeline params UI](../img/pipelines_new_run.png)
The new pipeline run will be executed through the execution queue by a ClearML agent. The agent will rebuild The new pipeline run will be executed through the execution queue by a ClearML agent. The agent will rebuild
the pipeline according to the configuration and DAG that was captured in the original run, and override the original the pipeline according to the configuration and DAG that was captured in the original run, and override the original