AROW++ An implementation of the efficient confidence-weighted classifier
arowpp (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.
arowpp (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.
To install arowpp, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install arowpp
To see what files were installed by arowpp, run:
port contents arowpp
To later upgrade arowpp, run:
sudo port selfupdate && sudo port upgrade arowpp
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