本文整理汇总了Java中weka.filters.supervised.instance.Resample.setBiasToUniformClass方法的典型用法代码示例。如果您正苦于以下问题：Java Resample.setBiasToUniformClass方法的具体用法？Java Resample.setBiasToUniformClass怎么用？Java Resample.setBiasToUniformClass使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类weka.filters.supervised.instance.Resample的用法示例。
在下文中一共展示了Resample.setBiasToUniformClass方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: setFilterParams
import weka.filters.supervised.instance.Resample; //导入方法依赖的package包/类
private void setFilterParams(Resample filter, String paramStr)
{
Properties params = Util.parsePropertyString(paramStr);
filter.setNoReplacement(true);
filter.setRandomSeed(Integer.parseInt(params.getProperty("seed", "0")));
filter.setSampleSizePercent(Double.parseDouble(params.getProperty("percent", "70")));
filter.setBiasToUniformClass(Double.parseDouble(params.getProperty("base", "0")));
}
示例2: setFilterParams
import weka.filters.supervised.instance.Resample; //导入方法依赖的package包/类
private int setFilterParams(Resample filter, String paramStr)
{
Properties params = Util.parsePropertyString(paramStr);
filter.setNoReplacement(true);
if(!"{SEED}".equals(params.getProperty("levelSeed")))
filter.setRandomSeed(Integer.parseInt(params.getProperty("levelSeed", "0")));
filter.setSampleSizePercent(Double.parseDouble(params.getProperty("levelPercent", "70")));
filter.setBiasToUniformClass(Double.parseDouble(params.getProperty("levelBias", "0")));
int level = Integer.parseInt(params.getProperty("level", "-1"));
if(level < 0)
throw new RuntimeException("Invalid level '" + level+ "'");
return level;
}
示例3: setFilterParams
import weka.filters.supervised.instance.Resample; //导入方法依赖的package包/类
private void setFilterParams(Resample filter, String paramStr)
{
Properties params = Util.parsePropertyString(paramStr);
filter.setNoReplacement(true);
if(!"{SEED}".equals(params.getProperty("terminationSeed")))
filter.setRandomSeed(Integer.parseInt(params.getProperty("terminationSeed", "0")));
filter.setSampleSizePercent(Double.parseDouble(params.getProperty("terminationPercent", "30")));
filter.setBiasToUniformClass(Double.parseDouble(params.getProperty("terminationBias", "0")));
}
示例4: downsample
import weka.filters.supervised.instance.Resample; //导入方法依赖的package包/类
private Instances downsample(Instances stringsReplacedData, double percent) throws Exception {
Instances reduced;
Resample sampler = new Resample();
sampler.setRandomSeed(1);
//do not change distribution
sampler.setBiasToUniformClass(0);
sampler.setSampleSizePercent(percent);
sampler.setInputFormat(stringsReplacedData);
reduced = Filter.useFilter(stringsReplacedData, sampler);
return reduced;
}
示例5: dumbResample
import weka.filters.supervised.instance.Resample; //导入方法依赖的package包/类
private Instances dumbResample(Instances reduced) throws Exception {
Resample resampleFilter = new Resample();
resampleFilter.setRandomSeed(1);
resampleFilter.setBiasToUniformClass(1);
resampleFilter.setInputFormat(reduced);
return Filter.useFilter(reduced, resampleFilter);
}