12 lines
717 B
Text
12 lines
717 B
Text
Classias is a collection of machine-learning algorithms for
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classification. Currently, it supports the following formalizations:
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L1/L2-regularized logistic regression (aka. Maximum Entropy)
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L1/L2-regularized L1-loss linear-kernel Support Vector Machine (SVM)
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Averaged perceptron
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It implements several algorithms for training classifiers:
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Averaged perceptron
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Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) [Nocedal80]
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Orthant-Wise Limited-memory Quasi-Newton (OWL-QN) [Andrew07]
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Primal Estimated sub-GrAdient SOlver (Pegasos) [Shalev-Shwartz07]
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Truncated Gradient [Langford09], also known as FOrward LOoking
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Subgradient (FOLOS) [Duchi09] specialized for L1 regularization
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