Examples of PolyKernel

org.apache.ctakes.utils.kernel.PolyKernel

weka.classifiers.functions.supportVector.PolyKernel

The polynomial kernel : K(x, y) = <x, y>^p or K(x, y) = (<x, y>+1)^p

Valid options are:

 -D Enables debugging output (if available) to be printed. (default: off)

 -no-checks Turns off all checks - use with caution! (default: checks on)

 -C <num> The size of the cache (a prime number), 0 for full cache and  -1 to turn it off. (default: 250007)

 -E <num> The Exponent to use. (default: 1.0)

 -L Use lower-order terms. (default: no)

@author Eibe Frank (eibe@cs.waikato.ac.nz) @author Shane Legg (shane@intelligenesis.net) (sparse vector code) @author Stuart Inglis (stuart@reeltwo.com) (sparse vector code) @version $Revision: 5808 $

    }
    String dir = "/home/tmill/Projects/coref/training/";
    String config = "treeKernels";
    String path = dir+config;
    LinearKernel linear = new LinearKernel(false);
    PolyKernel poly = new PolyKernel(3, 0.0, false);
    RBFKernel rbf = new RBFKernel(0.5);
    Kernel kernel = rbf;
    
    LinearKernelMatrixWriter lkmw;
    lkmw = new LinearKernelMatrixWriter(path + "/ne/training.downsampled.libsvm", path + "/ne/featRBFMatrix.downsampled.out");

      tmpStr        = tmpOptions[0];
      tmpOptions[0] = "";
      setKernel(Kernel.forName(tmpStr, tmpOptions));
    }
    else {
      setKernel(new PolyKernel());
    }
  }

      tmpStr        = tmpOptions[0];
      tmpOptions[0] = "";
      setKernel(Kernel.forName(tmpStr, tmpOptions));
    }
    else {
      setKernel(new PolyKernel());
    }
  }

      tmpStr        = tmpOptions[0];
      tmpOptions[0] = "";
      setKernel(Kernel.forName(tmpStr, tmpOptions));
    }
    else {
      setKernel(new PolyKernel());
    }
  }

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Examples of PolyKernel

Examples of org.apache.ctakes.utils.kernel.PolyKernel

Examples of weka.classifiers.functions.supportVector.PolyKernel

Examples of weka.classifiers.functions.supportVector.PolyKernel

Examples of weka.classifiers.functions.supportVector.PolyKernel