cloudpakfordata-credit-risk-workshop
1.0.0
1.0.0
  • Introduction
  • Getting Started
    • Pre-work
  • Credit Risk Workshop
    • Data Connection and Virtualization
    • Import Data to Project
    • Data Visualization with Data Refinery
    • Enterprise data governance for Viewers using Watson Knowledge Catalog
    • Enterprise data governance for Admins using Watson Knowledge Catalog
    • Machine Learning with Jupyter
    • Machine Learning with AutoAI
    • Deploy and Test Machine Learning Models
    • Monitoring models with OpenScale GUI (Auto setup Monitoring)
    • Monitoring models with OpenScale (Notebook)
  • Workshop Resources
    • FAQs / Tips
  • Resources
    • IBM Cloud Pak for Data - Information and Trial
    • IBM Cloud Pak for Data - Knowledge Center
    • IBM Cloud Pak for Data - Platform API
    • IBM Cloud Pak for Data - Community
    • Watson Knowledge Catalog
    • Watson Knowledge Catalog Learning Center
    • IBM Developer
    • IBM Developer - Cloud Pak for Data
    • IBM Garage Architecture - Data
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  • Manually Importing Jupyter Notebooks
  • Jupyter Notebooks with Output

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  1. Workshop Resources

FAQs / Tips

PreviousMonitoring models with OpenScale (Notebook)

Last updated 4 years ago

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Manually Importing Jupyter Notebooks

During the pre-work section of this workshop, you create a project based on an existing project file. If, for some reason, you are not using the project zip file to create your project then you will not have all the assets (Jupyter Notebooks, CSV files, etc) necessary for the labs. You can manually import these assets into an existing or empty project. Use the following steps to import the Jupyter notebook files manually.

  • At your project overview page, click the Add to project button, and choose the Notebook option.

  • On the next panel: select the From URL tab, give your notebook a name, provide the notebook URL, and leave the default Python environment:

Note: The URL and name shown in the screenshot may not match your scenario. Use the table below to determine what URL to use.

  • Use the following table to find the URL to use for each of the Workshop notebooks:

    Module

    Suggested Name

    URL

    ML Spark Model

    machinelearning-creditrisk-sparkmlmodel

    https://raw.githubusercontent.com/IBM/credit-risk-workshop-cpd/master/notebooks/machinelearning-creditrisk-sparkmlmodel.ipynb

    ML Model Deployment

    machinelearning-creditrisk-batchscoring

    https://raw.githubusercontent.com/IBM/credit-risk-workshop-cpd/master/notebooks/machinelearning-creditrisk-batchscoring.ipynb

    OpenScale Full Config

    openscale-full-configuration

    https://raw.githubusercontent.com/IBM/credit-risk-workshop-cpd/master/notebooks/openscale-full-configuration.ipynb

    OpenScale Manual Config - Initial Setup

    openscale-initial-setup

    https://raw.githubusercontent.com/IBM/credit-risk-workshop-cpd/master/notebooks/openscale-initial-setup.ipynb

    OpenScale Manual Config - Fairness / Explainability

    openscale-fairness-explainability

    https://raw.githubusercontent.com/IBM/credit-risk-workshop-cpd/master/notebooks/openscale-fairness-explainability.ipynb

    OpenScale Manual Config - Quality

    openscale-quality-feedback

    https://raw.githubusercontent.com/IBM/credit-risk-workshop-cpd/master/notebooks/openscale-quality-feedback.ipynb

    OpenScale Manual Config - Drift

    openscale-drift-config

    https://raw.githubusercontent.com/IBM/credit-risk-workshop-cpd/master/notebooks/openscale-drift-config.ipynb

    OpenScale Manual Config - Historic Data

    openscale-historic-data

    https://raw.githubusercontent.com/IBM/credit-risk-workshop-cpd/master/notebooks/openscale-historic-data.ipynb

  • Click the Create notebook button. The Jupyter notebook will be loaded and the kernel is started. Once the kernel is ready you can go back to the workshop instructions.

Jupyter Notebooks with Output

The Jupyter notebooks in the project file you import have been cleared of output. For reference, you can see the notebooks with output at the links listed below. Note: These links are not meant to be used for importing the notebook into the project.

Module

Notebook Name

Notebook With Output URL

ML Spark Model

machinelearning-creditrisk-sparkmlmodel

https://github.com/IBM/credit-risk-workshop-cpd/blob/master/notebooks/with-output/machinelearning-creditrisk-sparkmlmodel-with-output.ipynb

ML Model Deployment

machinelearning-creditrisk-batchscoring

https://github.com/IBM/credit-risk-workshop-cpd/blob/master/notebooks/with-output/machinelearning-creditrisk-batchscoring-with-output.ipynb

OpenScale Full Config

openscale-full-configuration

https://github.com/IBM/credit-risk-workshop-cpd/blob/master/notebooks/with-output/openscale-full-configuration-output.ipynb

OpenScale Manual Config - Initial Setup

openscale-initial-setup

https://github.com/IBM/credit-risk-workshop-cpd/blob/master/notebooks/with-output/openscale-initial-setup-with-output.ipynb

OpenScale Manual Config - Fairness / Explainability

openscale-fairness-explainability

https://github.com/IBM/credit-risk-workshop-cpd/blob/master/notebooks/with-output/openscale-fairness-explainability-with-output.ipynb

OpenScale Manual Config - Quality

openscale-quality-feedback

https://github.com/IBM/credit-risk-workshop-cpd/blob/master/notebooks/with-output/openscale-quality-feedback-with-output.ipynb

OpenScale Manual Config - Drift

openscale-drift-config

https://github.com/IBM/credit-risk-workshop-cpd/blob/master/notebooks/with-output/openscale-drift-config-with-output.ipynb

OpenScale Manual Config - Historic Data

openscale-historic-data

https://github.com/IBM/credit-risk-workshop-cpd/blob/master/notebooks/with-output/openscale-historic-data-with-output.ipynb

I dont have the Jupyter notebooks in my project. How can I import them ?
How can I see what the Jupyter notebooks output should be?
Add to project
Add notebook name and URL