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📄 kernel.h

📁 一款不错的支持向量机程序
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/************************************************************************//*                                                                      *//*   kernel.h                                                           *//*                                                                      *//*   User defined kernel function. Feel free to plug in your own.       *//*                                                                      *//*   Copyright: Thorsten Joachims                                       *//*   Date: 16.12.97                                                     *//*                                                                      *//************************************************************************//* KERNEL_PARM is defined in svm_common.h The field 'custom' is reserved for *//* parameters of the user defined kernel. You can also access and use *//* the parameters of the other kernels. Just replace the line              return((double)(1.0));    with your own kernel. */  /* Example: The following computes the polynomial kernel. sprod_ss              computes the inner product between two sparse vectors.       return((CFLOAT)pow(kernel_parm->coef_lin*sprod_ss(a->words,b->words)             +kernel_parm->coef_const,(double)kernel_parm->poly_degree));   *//* If you are implementing a kernel that is not based on a   feature/value representation, you might want to make use of the   field "userdefined" in SVECTOR. By default, this field will contain   whatever string you put behind a # sign in the example file. So, if   a line in your training file looks like   -1 1:3 5:6 #abcdefg   then the SVECTOR field "words" will contain the vector 1:3 5:6, and   "userdefined" will contain the string "abcdefg". */double custom_kernel(KERNEL_PARM *kernel_parm, SVECTOR *a, SVECTOR *b)      /* plug in you favorite kernel */                          {  return((double)(1.0)); }

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