Foundry icon indicating copy to clipboard operation
Foundry copied to clipboard

The Cognitive Foundry is an open-source Java library for building intelligent systems using machine learning

Results 40 Foundry issues
Sort by recently updated
recently updated
newest added

Bumps [xstream](https://github.com/x-stream/xstream) from 1.4.13-java7 to 1.4.17. Commits See full diff in compare view [![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=com.thoughtworks.xstream:xstream&package-manager=maven&previous-version=1.4.13-java7&new-version=1.4.17)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter...

dependencies

Added a class extending the existing AffinityPropagation.java class. Its implementation upgrades the previous one in terms of computation efficiency. The two core functions are reimplemented. Computational complexity reduced from n^3...

It looks like if you have a NaN element in the code it can cause vectors to be declared equal that are not. Example code: ``` assertFalse( VectorFactory.getDenseDefault().copyValues(Double.NaN).equals( VectorFactory.getDenseDefault().copyValues(0.0))); ```

bug

Most of these changes created internally by Melissa Bain. Credit where due.

Add support for doing regression with an L1 penalty.

enhancement

DefaultWeightedPair is missing an equals and hashCode implementations.

bug

Have the ability to just take in the data, normalize, train, and bake the normalization into the coefficients.

enhancement

Add direct support for multiclass logistic regression.

enhancement

There is a binary versus for all pairs and a winner-take-all but not an adapter for one class versus another.

enhancement

Adding back SummaryStatistics implementations after 4.0.0 release. Pull request created to collect more feedback.