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Suite of Fast Incremental Algorithms for Machine Learning

The suite of fast incremental algorithms for machine learning (sofia-ml) can be used for training models for classification, regression, ranking, or combined regression and ranking. Several different techniques are available. This release is intended to aid researchers and practitioners who require fast methods for classification and ranking on large, sparse data sets.

Version: 2011-06-20-r42 License: Apache-2 GitHub
Maintainers No Maintainer
Categories math
Homepage https://code.google.com/p/sofia-ml/
Platforms darwin
Variants
  • kmeans (Add sofia-kmeans package)
  • universal (Build for multiple architectures)

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