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Fix modules/ typos
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@@ -1764,7 +1764,7 @@ Note that the parameters margin regularization, initial step size, and step decr
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To use SVMSGD algorithm do as follows:
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- first, create the SVMSGD object. The algoorithm will set optimal parameters by default, but you can set your own parameters via functions setSvmsgdType(),
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- first, create the SVMSGD object. The algorithm will set optimal parameters by default, but you can set your own parameters via functions setSvmsgdType(),
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setMarginType(), setMarginRegularization(), setInitialStepSize(), and setStepDecreasingPower().
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- then the SVM model can be trained using the train features and the correspondent labels by the method train().
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