Scenario: ISP Outage
Setting up Video Quality of Experience Monitoring
© 2022 Databricks, Inc. All rights reserved. The source in this notebook is provided subject to the Databricks License [https://databricks.com/db-license-source]. All included or referenced third party libraries are subject to the licenses set forth below.
| Library Name | Library license | Library License URL | Library Source URL |
|---|---|---|---|
| Faker | MIT License | https://github.com/joke2k/faker/blob/master/LICENSE.txt | https://github.com/joke2k/faker |
| MLflow | Apache-2.0 License | https://github.com/mlflow/mlflow/blob/master/LICENSE.txt | https://github.com/mlflow/mlflow |
| Numpy | BSD-3-Clause License | https://github.com/numpy/numpy/blob/master/LICENSE.txt | https://github.com/numpy/numpy |
| Pandas | BSD 3-Clause License | https://github.com/pandas-dev/pandas/blob/master/LICENSE | https://github.com/pandas-dev/pandas |
| Python | Python Software Foundation (PSF) | https://github.com/python/cpython/blob/master/LICENSE | https://github.com/python/cpython |
| Scikit learn | BSD 3-Clause License | https://github.com/scikit-learn/scikit-learn/blob/main/COPYING/ | https://github.com/scikit-learn/scikit-learn |
| Spark | Apache-2.0 License | https://github.com/apache/spark/blob/master/LICENSE | https://github.com/apache/spark |
To run this accelerator, clone this repo into a Databricks workspace. Attach the RUNME notebook to any cluster running a DBR 11.0 or later runtime, and execute the notebook via Run-All. A multi-step-job describing the accelerator pipeline will be created, and the link will be provided. Execute the multi-step-job to see how the pipeline runs.
The job configuration is written in the RUNME notebook in json format. The cost associated with running the accelerator is the user's responsibility.