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Version: v1.4.1

Multiclass Classification

Coming Soon

Multi-Class Classification is currently in active development and will be available in an upcoming release of xplainable. We're working to bring transparent, explainable multi-class models with the same ease of use you've come to expect.

Current Status​

Multi-class classification is not yet available in xplainable. The classes XMultiClassifier and PartitionedMultiClassifier do not exist in the current codebase.

Current Alternatives​

While we work on multi-class support, you can:

1. Use Binary Classification​

For problems with 3+ classes, consider:

  • One-vs-Rest approach: Train separate XClassifier models for each class
  • Binary decomposition: Break down into multiple binary problems

2. Preprocessing Strategies​

  • Class grouping: Combine similar classes into broader categories
  • Hierarchical classification: Use a tree-like structure of binary classifiers

3. Stay Updated​

  • Follow our releases: Check the GitHub repository for updates
  • Join our community: Get notified when multi-class support is released

In the meantime, explore our powerful binary classification and regression capabilities.