This is the Linux app named smclarify whose latest release can be downloaded as Version0.5.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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smclarify
DESCRIPTION
Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models. A facet is column or feature that will be used to measure bias against. A facet can have value(s) that designates that sample as "sensitive". Bias detection and mitigation for datasets and models. The label is a column or feature which is the target for training a machine learning model. The label can have value(s) that designates that sample as having a "positive" outcome. A bias measure is a function that returns a bias metric. A bias metric is a numerical value indicating the level of bias detected as determined by a particular bias measure. A collection of bias metrics for a given dataset or a combination of a dataset and model.
Features
- Install the package from PIP
- Bias measure
- Bias report
- Bias metric
- You can see examples on running the Bias metrics on the notebooks in the examples folder
- Mitigation for datasets and models
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/smclarify.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
