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Building MloPS + Data Science Scripts
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mlOps/nyc_taxi/aml_pipelines/v1/nyc_pipeline.py

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@@ -71,7 +71,7 @@ def create_pipeline_structure(databricks_compute, ws, cluster_id):
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print('Creating the pipeline structure')
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nyc_taxi_e2e_mlops = DatabricksStep(
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name="Databricks_Feature_Engineering",
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name="nyc_taxi_e2e_mlops",
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notebook_path="/Repos/"+ ARM_CLIENT_ID + "/Sandbox/data_science/src_nyc_taxi/src.py",
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#notebook_params={'myparam': 'testparam',
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# 'myparam2': pipeline_param},

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