Fixed documentation.
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SVMSGD provides a fast and easy-to-use implementation of the SVM classifier using the Stochastic Gradient Descent approach,
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SVMSGD provides a fast and easy-to-use implementation of the SVM classifier using the Stochastic Gradient Descent approach,
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as presented in @cite bottou2010large.
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as presented in @cite bottou2010large.
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The gradient descent show amazing performance for large-scale problems, reducing the computing time.
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The classifier has 5 parameters. These are
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The classifier has 5 parameters. These are
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- model type,
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- model type,
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