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add pipeline validation
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how-to-use-azureml/machine-learning-pipelines/intro-to-pipelines/aml-pipelines-use-databricks-as-compute-target.ipynb

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"source": [
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"steps = [dbNbStep]\n",
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"pipeline = Pipeline(workspace=ws, steps=steps)\n",
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"pipeline.validate()\n",
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"pipeline_run = Experiment(ws, 'DB_Notebook_demo').submit(pipeline)\n",
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"pipeline_run.wait_for_completion()"
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]

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