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2972
libsvm-3.36/java/libsvm/svm.java
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2972
libsvm-3.36/java/libsvm/svm.java
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2972
libsvm-3.36/java/libsvm/svm.m4
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2972
libsvm-3.36/java/libsvm/svm.m4
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Load Diff
23
libsvm-3.36/java/libsvm/svm_model.java
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libsvm-3.36/java/libsvm/svm_model.java
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//
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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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6
libsvm-3.36/java/libsvm/svm_node.java
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libsvm-3.36/java/libsvm/svm_node.java
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package libsvm;
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public class svm_node implements java.io.Serializable
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{
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public int index;
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public double value;
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}
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47
libsvm-3.36/java/libsvm/svm_parameter.java
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libsvm-3.36/java/libsvm/svm_parameter.java
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package libsvm;
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public class svm_parameter implements Cloneable,java.io.Serializable
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{
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/* svm_type */
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public static final int C_SVC = 0;
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public static final int NU_SVC = 1;
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public static final int ONE_CLASS = 2;
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public static final int EPSILON_SVR = 3;
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public static final int NU_SVR = 4;
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/* kernel_type */
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public static final int LINEAR = 0;
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public static final int POLY = 1;
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public static final int RBF = 2;
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public static final int SIGMOID = 3;
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public static final int PRECOMPUTED = 4;
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public int svm_type;
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public int kernel_type;
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public int degree; // for poly
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public double gamma; // for poly/rbf/sigmoid
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public double coef0; // for poly/sigmoid
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// these are for training only
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public double cache_size; // in MB
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public double eps; // stopping criteria
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public double C; // for C_SVC, EPSILON_SVR and NU_SVR
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public int nr_weight; // for C_SVC
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public int[] weight_label; // for C_SVC
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public double[] weight; // for C_SVC
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public double nu; // for NU_SVC, ONE_CLASS, and NU_SVR
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public double p; // for EPSILON_SVR
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public int shrinking; // use the shrinking heuristics
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public int probability; // do probability estimates
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public Object clone()
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{
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try
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{
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return super.clone();
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} catch (CloneNotSupportedException e)
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{
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return null;
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}
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}
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}
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5
libsvm-3.36/java/libsvm/svm_print_interface.java
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libsvm-3.36/java/libsvm/svm_print_interface.java
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package libsvm;
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public interface svm_print_interface
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{
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public void print(String s);
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}
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7
libsvm-3.36/java/libsvm/svm_problem.java
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libsvm-3.36/java/libsvm/svm_problem.java
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package libsvm;
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public class svm_problem implements java.io.Serializable
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{
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public int l;
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public double[] y;
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public svm_node[][] x;
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}
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