?? svm_parameter.java
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package libsvm;public class svm_parameter implements Cloneable,java.io.Serializable{ /* svm_type */ public static final int C_SVC = 0; public static final int NU_SVC = 1; public static final int ONE_CLASS = 2; public static final int EPSILON_SVR = 3; public static final int NU_SVR = 4; /* kernel_type */ public static final int LINEAR = 0; public static final int POLY = 1; public static final int RBF = 2; public static final int SIGMOID = 3; public static final int PRECOMPUTED = 4; public int svm_type; public int kernel_type; public int degree; // for poly public double gamma; // for poly/rbf/sigmoid public double coef0; // for poly/sigmoid // these are for training only public double cache_size; // in MB public double eps; // stopping criteria public double C; // for C_SVC, EPSILON_SVR and NU_SVR public int nr_weight; // for C_SVC public int[] weight_label; // for C_SVC public double[] weight; // for C_SVC public double nu; // for NU_SVC, ONE_CLASS, and NU_SVR public double p; // for EPSILON_SVR public int shrinking; // use the shrinking heuristics public int probability; // do probability estimates public Object clone() { try { return super.clone(); } catch (CloneNotSupportedException e) { return null; } }}?? 快捷鍵說明
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