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Implements stochastic gradient descent for learning a linear binary class SVM or binary class logistic regression on text data
Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier. This implementation globally replaces all […]
SMOreg implements the support vector machine for regression
Implements the stochastic variant of the Pegasos (Primal Estimated sub-GrAdient SOlver for SVM) method of Shalev-Shwartz et al
Learns a simple linear regression model
Classifier for building linear logistic regression models
Implementation of the voted perceptron algorithm by Freund and Schapire
Implements Winnow and Balanced Winnow algorithms by Littlestone. For more information, see N
Nearest-neighbour classifier
K-nearest neighbours classifier