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articles/machine-learning/how-to-use-pipeline-component.md

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@@ -59,11 +59,11 @@ The python SDK example can be found in [azureml-example repo](https://github.com
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You can define a pipeline component using a Python function, which is similar to defining a pipeline job using a function. You can also promote the compute of some step to be used as inputs for the pipeline component.
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[!notebook-python[] (~/azureml-examples-v2samplesreorg/sdk/python/jobs/pipelines/1j_pipeline_with_pipeline_component/pipeline_with_train_eval_pipeline_component/pipeline_with_train_eval_pipeline_component.ipynb?name=pipeline-component)]
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[!notebook-python[] (~/azureml-examples-main/sdk/python/jobs/pipelines/1j_pipeline_with_pipeline_component/pipeline_with_train_eval_pipeline_component/pipeline_with_train_eval_pipeline_component.ipynb?name=pipeline-component)]
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You can use pipeline component as a step like other components in pipeline job.
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[!notebook-python[] (~/azureml-examples-v2samplesreorg/sdk/python/jobs/pipelines/1j_pipeline_with_pipeline_component/pipeline_with_train_eval_pipeline_component/pipeline_with_train_eval_pipeline_component.ipynb?name=pipeline-component-pipeline-job)]
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[!notebook-python[] (~/azureml-examples-main/sdk/python/jobs/pipelines/1j_pipeline_with_pipeline_component/pipeline_with_train_eval_pipeline_component/pipeline_with_train_eval_pipeline_component.ipynb?name=pipeline-component-pipeline-job)]
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## Pipeline job with sweep step in studio
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