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Fix SVR documentation (#265)
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y-uti authored and akondas committed Mar 20, 2018
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2 changes: 1 addition & 1 deletion docs/machine-learning/regression/svr.md
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Expand Up @@ -4,7 +4,7 @@ Class implementing Epsilon-Support Vector Regression based on libsvm.

### Constructor Parameters

* $kernel (int) - kernel type to be used in the algorithm (default Kernel::LINEAR)
* $kernel (int) - kernel type to be used in the algorithm (default Kernel::RBF)
* $degree (int) - degree of the Kernel::POLYNOMIAL function (default 3)
* $epsilon (float) - epsilon in loss function of epsilon-SVR (default 0.1)
* $cost (float) - parameter C of C-SVC (default 1.0)
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