24 lines
946 B
Java
24 lines
946 B
Java
//
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// svm_model
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//
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package libsvm;
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public class svm_model implements java.io.Serializable
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{
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public svm_parameter param; // parameter
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public int nr_class; // number of classes, = 2 in regression/one class svm
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public int l; // total #SV
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public svm_node[][] SV; // SVs (SV[l])
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public double[][] sv_coef; // coefficients for SVs in decision functions (sv_coef[k-1][l])
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public double[] rho; // constants in decision functions (rho[k*(k-1)/2])
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public double[] probA; // pariwise probability information
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public double[] probB;
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public double[] prob_density_marks; // probability information for ONE_CLASS
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public int[] sv_indices; // sv_indices[0,...,nSV-1] are values in [1,...,num_traning_data] to indicate SVs in the training set
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// for classification only
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public int[] label; // label of each class (label[k])
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public int[] nSV; // number of SVs for each class (nSV[k])
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// nSV[0] + nSV[1] + ... + nSV[k-1] = l
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};
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