本文整理了Java中libsvm.svm.svm_get_nr_class()方法的一些代码示例，展示了svm.svm_get_nr_class()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。svm.svm_get_nr_class()方法的具体详情如下：
包路径：libsvm.svm
类名称：svm
方法名：svm_get_nr_class

svm.svm_get_nr_class介绍

暂无

代码示例

代码示例来源：origin: jzy3d/jzy3d-api

int nr_class=svm.svm_get_nr_class(model);
double[] prob_estimates=null;

代码示例来源：origin: dkpro/dkpro-tc

int nr_class = svm.svm_get_nr_class(model);
double[] prob_estimates = null;

代码示例来源：origin: ch.epfl.bbp.nlp/bluima_jsre

int nr_class=svm.svm_get_nr_class(model);
int[] labels=new int[nr_class];
double[] prob_estimates=null;

代码示例来源：origin: org.dkpro.tc/dkpro-tc-ml-libsvm

int nr_class = svm.svm_get_nr_class(model);
double[] prob_estimates = null;

代码示例来源：origin: com.facebook.thirdparty/libsvm

param.svm_type == svm_parameter.NU_SVC))
double[] prob_estimates= new double[svm_get_nr_class(submodel)];
for(j=begin;j<end;j++)
  target[perm[j]] = svm_predict_probability(submodel,prob.x[perm[j]],prob_estimates);

代码示例来源：origin: tw.edu.ntu.csie/libsvm

param.svm_type == svm_parameter.NU_SVC))
double[] prob_estimates= new double[svm_get_nr_class(submodel)];
for(j=begin;j<end;j++)
  target[perm[j]] = svm_predict_probability(submodel,prob.x[perm[j]],prob_estimates);

代码示例来源：origin: jzy3d/jzy3d-api

param.svm_type == svm_parameter.NU_SVC))
double[] prob_estimates= new double[svm_get_nr_class(submodel)];
for(j=begin;j<end;j++)
  target[perm[j]] = svm_predict_probability(submodel,prob.x[perm[j]],prob_estimates);

代码示例来源：origin: jdmp/java-data-mining-package

int nr_class = svm.svm_get_nr_class(model);
  double[] prediction = new double[nr_class];
  return output;
} else {
  int nr_class = svm.svm_get_nr_class(model);
  double[] prediction = new double[nr_class];
  int[] label = new int[svm.svm_get_nr_class(model)];
  svm.svm_get_labels(model, label);
  Matrix output = Matrix.Factory.zeros(1, MathUtil.max(label) + 1);

代码示例来源：origin: org.clulab/processors

public void svm_predict_with_kbestlist(svm_model model, svm_node[] x, KBestList kBestList) throws MaltChainedException {
  int i;
  final int nr_class = svm.svm_get_nr_class(model);
  final double[] dec_values = new double[nr_class*(nr_class-1)/2];
  svm.svm_predict_values(model, x, dec_values);

代码示例来源：origin: org.maltparser/maltparser

public void svm_predict_with_kbestlist(svm_model model, svm_node[] x, KBestList kBestList) throws MaltChainedException {
  int i;
  final int nr_class = svm.svm_get_nr_class(model);
  final double[] dec_values = new double[nr_class*(nr_class-1)/2];
  svm.svm_predict_values(model, x, dec_values);

代码示例来源：origin: DigitalPebble/TextClassification

public final double[] classify(Document document) throws Exception {
 int svm_type = svm.svm_get_svm_type(model);
 int nr_class = svm.svm_get_nr_class(model);
 int[] labels = new int[nr_class];
 svm.svm_get_labels(model, labels);

代码示例来源：origin: elki-project/elki

double[] buf = new double[svm.svm_get_nr_class(model)];
for(int i = 0; i < prob.l && iter.valid(); iter.advance(), i++) {
 V vec = relation.get(iter);