Generate the data files with:
./data/script/generate_datafiles.py
Run the code with
maven clean compile
Or through IntelliJ.
Finding fair and accurate models with evolutionary algorithms
We need to understand where our results would fit into the points we're making about the virtues of multi-objective optimization for fairness, so a draft is one of the first steps
Given a dataset, produce an objective that will measure fairness on that dataset
There is a wide literature out there on this, we should just have to find examples and port them to scala
Not completely sold on 3, but I think that's about right. Should be datasets that other people (probably the original AIF paper) have used
Let's start with the 8 on the AIF360 site
Hopefully they're in a consistent format. I'm willing to limit datasets to binary classification, if that would be easier
Likely on the discovery cluster
Given a 3d pareto frontier between accuracy and two fairness metrics, how do you plot the fairness metrics against each other?
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
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Data-Driven Documents codes.
China tencent open source team.