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Fix pipeline code snippets (#118)

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pollfly 2021-11-19 20:52:03 +02:00 committed by GitHub
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16
docs/getting_started/mlops/mlops_second_steps.md
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@ -29,7 +29,7 @@ and lastly we want to create a new version of the data.
```python
# create a task for the data processing part
task = Task.init(project_name='data', task_name='ingest', task_type='data_processing')
task = Task.init(project_name='data', task_name='create', task_type='data_processing')
# get the v1 dataset
dataset = Dataset.get(dataset_project='data', dataset_name='dataset_v1')
@ -86,20 +86,24 @@ It is important to remember that pipelines are Tasks by themselves and can also
```python
pipe = PipelineController(
always_create_task=True,
pipeline_project='data', pipeline_name='pipeline demo',
project='data',
name='pipeline demo',
version="1.0"
)
pipe.add_step(
name='step 1 data',
base_task_id='cbc84a74288e459c874b54998d650214', # Put the task ID here
base_project_name='data',
base_task_name='create'
)
pipe.add_step(
name='step 2 train',
parents=['step 1 data', ],
base_task_id='cbc84a74288e459c874b54998d650214', # Put the task ID here
base_project_name='data',
base_task_name='ingest'
)
```
We could also pass the parameters from one step to the other (for example `Task.id`).
See more in the full pipeline documentation [here](../../fundamentals/pipelines.md).
In addition to pipelines made up of Task steps, ClearML also supports pipelines consisting of function steps. See more in the
full pipeline documentation [here](../../fundamentals/pipelines.md).