v0.0.5-preview

What's Changed

• Added new normalization options by @ooples in #3
• Create SECURITY.md by @ooples in #5
• Added new regression and normalization options by @ooples in #4
• Create dependabot.yml by @ooples in #6
• Bump Microsoft.NET.Test.Sdk from 17.6.0 to 17.7.2 by @dependabot in #9
• Bump xunit.runner.visualstudio from 2.4.5 to 2.5.3 by @dependabot in #7
• Bump xunit from 2.4.2 to 2.5.2 by @dependabot in #8
• Fixed normalization for all regression types by @ooples in #10
• Cleaned up some code by @ooples in #11

New Contributors

• @dependabot made their first contribution in #9

Full Changelog: v0.0.3-preview...v0.0.5-preview

v0.0.3-preview

What's Changed

• Updated language version to use latest Updated target frameworks to widen the range Added a bunch of new metrics such as R2, Std Deviation, Std Error, etc by @ooples in #1
• Adding new Normalization options by @ooples in #2

New Contributors

• @ooples made their first contribution in #1

Full Changelog: v0.0.1-preview...v0.0.3-preview

v0.0.1-preview

Full Changelog: https://github.com/ooples/AiDotNet/commits/v0.0.1-preview

This is a prerelease version to showcase our approach for making ai super easy for any user to use or customize. The typical ai process is split up into many steps such as preparing the data, creating a training set, calculating metrics on the untrained set to get a good idea about how accurate the trained model is, and generating new predictions for the untrained set or new data. We eliminate all of that and handle all of it in the backend but allow full customization to be able to tweak any part of the normal processes. Please share your feedback and let us know how we can improve this library. We will be adding new algorithms once we get some solid feedback on our software design.