Update pipeline version info ()

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pollfly 2023-10-18 10:22:18 +03:00 committed by GitHub
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3 changed files with 7 additions and 8 deletions

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@ -105,10 +105,9 @@ when rerun, the pipeline DAG will be generated from the pipeline configuration s
lets you modify the pipeline configuration via the UI, without changing the original codebase.
### Pipeline Versions
Each pipeline must be assigned a version number to help track the evolution of your pipeline structure and parameters.
If you pass `auto_version_bump=True` when instantiating a PipelineController, the pipeline's version automatically bumps up
if there is a change in the pipeline code. If there is no change, the pipeline retains its version number.
You can assign each pipeline a version number to help track the evolution of your pipeline structure and parameters.
The pipeline's version automatically bumps up if there is a change in the pipeline code. If there is no change, the
pipeline retains its version number.
### Tracking Pipeline Progress
ClearML automatically tracks a pipeline's progress percentage: the number of pipeline steps completed out of the total

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@ -39,8 +39,8 @@ def main(pickle_url, mock_parameter='mock'):
* `name` - The name for the pipeline controller task
* `project` - The ClearML project where the pipeline controller task is stored
* `version` - Numbered version string (e.g. 1.2.3). If `auto_version_bump` is set to `True`, the version number is
automatically bumped if the same version already exists and the pipeline code has changed
* `version` - Numbered version string (e.g. `1.2.3`). If not set, find the pipeline's latest version and increment
it. If no such version is found, defaults to `1.0.0`
* `default_queue` - The default [ClearML Queue](../fundamentals/agents_and_queues.md#what-is-a-queue) in which to enqueue all pipeline steps (unless otherwise specified in the pipeline step).
* `args_map` - Map arguments to their [configuration section](../fundamentals/hyperparameters.md#webapp-interface) in
the following format: `{'section_name':['param_name']]}`. For example, the pipeline in the code above will store the

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@ -15,8 +15,8 @@ pipe = PipelineController(
* `name` - The name for the pipeline controller task
* `project` - The ClearML project where the pipeline tasks will be created.
* `version` - Numbered version string (`e.g. 1.2.3`). When `auto_version_bump` is set to `True`, the version number will
be automatically bumped if the same version already exists and the code has changed
* `version` - Numbered version string (e.g. `1.2.3`). If not set, find the pipeline's latest version and increment
it. If no such version is found, defaults to `1.0.0`
See [PipelineController](../references/sdk/automation_controller_pipelinecontroller.md) for all arguments.