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smclarify download for Windows

Free download smclarify Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows 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.

Download and run online this app named smclarify with OnWorks for free.

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- 3. Upload this application in such filemanager.

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- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

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

UML, Machine Learning

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.


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