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Trusted AI
  • Fair and Explainable AI
  • Cloud Environment Setup
  • Part 1: Remove Unfair Bias in Machine Learning
  • Part 2: Explain Machine Learning Models
  • Part 3: Build a machine learning model and monitor the performance, bias and drift
  • Additional Resources
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Part 2: Explain Machine Learning Models

PreviousPart 1: Remove Unfair Bias in Machine LearningNextPart 3: Build a machine learning model and monitor the performance, bias and drift

Last updated 4 years ago

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In this part of the workshop you will explore different kinds of explanations suited to different users. As in part 1 we will explore a notebook.

Go back to the Project page by clicking on the name of the Project at the top of a notebook, or on IBM Cloud Pak for Data and then go to the Project.

Go to the Assets tab and click on Add to project or New Notebook:

As before, in the next screen select From URL, give the notebook a name, paste the below link in the Notebook URL field and then click the Create button at the bottom right. You can leave the runtime as the default.

https://github.com/MargrietGroenendijk/gitbooks/blob/master/notebooks/2-explain-models.ipynb

A kernel is being spun up and the notebook loaded. Run each cell in order by selecting it, and then clicking the ▶︎ Run button at the top or use Shift-Enter.

Go to the next part of the workshop after you have explored the notebook.