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AROW++ An implementation of the efficient confidence-weighted classifierarowpp (AROW++) is an simple and efficient implementation of Adaptive Regularization of Weights online learning algorithm for binary classification. AROW is efficient for learning tasks such as natural language processing tasks that the data is high-dimensional, extremely sparse. AROW is an extension of confidence weighted (CW) algorithm that can achieve the good performance with a few iterations.
Version: 0.1.3 License: BSD
GitHub
| Maintainers | No Maintainer |
| Categories | textproc math |
| Homepage | https://github.com/tetsuok/arowpp |
| Platforms | darwin |
| Variants | - |
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