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@ -70,4 +70,4 @@ The `quartz_cron_expression` takes [Quartz cron](http://www.quartz-scheduler.org
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# Conclusion
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The actual work of this scenario is done through this Azure Databricks job. The job executes the `3_Scoring_Pipeline` notebook, which depends on a machine learning model existing on the Azure Databricks file storage. We created the model using the `2_Training_Pipeline` notebook.
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The actual work of this scenario is done through this Azure Databricks job. The job executes the `3_Scoring_Pipeline` notebook, which depends on a machine learning model existing on the Azure Databricks file storage. We created the model using the `2_Training_Pipeline` notebook which used the data downloaded with the `1_data_ingestion` notebook.
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# Azure Databricks job templates
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This folder contains the template used to create the Azure Databricks job that does the batch scoring.
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Instructions to use this file are located at https://github.com/Azure/BatchSparkScoringPredictiveMaintenance/blob/master/BatchScoringJob.md
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# Azure Databricks job customization script
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This folder contains the script that customizes the template file used to create the Azure Databricks job that does the batch scoring.
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Instructions to use this file are located at https://github.com/Azure/BatchSparkScoringPredictiveMaintenance/blob/master/BatchScoringJob.md
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