feat: Bias Mitigation Automation Workflow to IBM AIF 360 #527
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Introduced automation capabilities to the IBM AIF 360. This automation was rigorously tested using various notebooks developed by IBM AIF 360. Developers can now seamlessly integrate automation into their workflow by specifying a desired notebook name for execution, resulting in an output notebook with the .ipynb extension. Signed-off-by: Jayana Gunaweera <79576139+JayanaGunaweera01@users.noreply.github.com>
Added caching steps in setting up R and python packages. Signed-off-by: Jayana Gunaweera <79576139+JayanaGunaweera01@users.noreply.github.com>
Signed-off-by: Jayana Gunaweera <79576139+JayanaGunaweera01@users.noreply.github.com>
Added caching steps for python and R setup.This will optimize the workflow by reducing the time to complete a workflow execution. Signed-off-by: Jayana Gunaweera <79576139+JayanaGunaweera01@users.noreply.github.com>
Signed-off-by: Jayana Gunaweera <79576139+JayanaGunaweera01@users.noreply.github.com>
added caching to ci-cd pipeline Signed-off-by: Jayana Gunaweera <79576139+JayanaGunaweera01@users.noreply.github.com>
Added caching to ci cd pipeline
JayanaGunaweera01
changed the title
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Bias Mitigation Automation Workflow to IBM AIF 360
Description:
This pull request adds a new feature to IBM AIF 360 by incorporating automation capabilities in notebook execution.I've created a YAML file named bias-mitigation-automation.yml to introduce automation capabilities to the Bias Mitigation Workflow in IBM AIF 360. This automation was rigorously tested using various notebooks developed by IBM AIF 360. Developers can now seamlessly integrate automation into their workflow by specifying a desired notebook name for execution, resulting in an output notebook with the .ipynb extension.
Changes Made:
Added bias-mitigation-automation.yml to enable Bias Mitigation Automation Workflow.
Integrated automated execution of IBM AIF 360 example notebooks.
Demonstration:
Execution Results:
Upon reviewing the execution of the notebook, it has been demonstrated that the automated platform achieved a 100% success rate with higher accuracy, all while maintaining shorter execution times compared to local, manual notebook execution (within GitHub action runners).
Workflow execution results can be found in:
https://github.com/JayanaGunaweera01/EthAIAuditHub/actions/workflows/bias-mitigation-automation.yml