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Fix SVR documentation (#265)

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Yuji Uchiyama 2018-03-21 01:25:25 +09:00 committed by Arkadiusz Kondas
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commit 8b0d12c219
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docs/machine-learning/regression/svr.md
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@ -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)