Java Standardize类代码示例

OGeek|极客世界-中国程序员成长平台 › 门户 › 编程› Java›Java编程经验

原作者: [db:作者] 来自: [db:来源] 收藏邀请

本文整理汇总了Java中weka.filters.unsupervised.attribute.Standardize类的典型用法代码示例。如果您正苦于以下问题：Java Standardize类的具体用法？Java Standardize怎么用？Java Standardize使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。

Standardize类属于weka.filters.unsupervised.attribute包，在下文中一共展示了Standardize类的12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，您的评价将有助于我们的系统推荐出更棒的Java代码示例。

示例1: preProcessData

import weka.filters.unsupervised.attribute.Standardize; //导入依赖的package包/类
/**
 * 
 * @param data the data to transform
 * @param shouldImpute impute the data?
 * @param shouldStandardize standardize the numeric attributes?
 * @param shouldBinarize binarize the attributes?
 * @return the transformed data
 * @throws Exception
 */
public static Instances preProcessData(Instances data, boolean shouldImpute, 
		boolean shouldStandardize, boolean shouldBinarize) throws Exception {
    if( shouldImpute ) {
    	Filter impute = new ReplaceMissingValues();
    	impute.setInputFormat(data);
		data = Filter.useFilter(data, impute);
    }
	if( shouldStandardize ) {
		Filter standardize = new Standardize();
		standardize.setInputFormat(data);
		data = Filter.useFilter(data, standardize);
	}
	if( shouldBinarize ) {
		Filter binarize = new NominalToBinary();
		binarize.setInputFormat(data);
    	// make resulting binary attrs nominal, not numeric
		binarize.setOptions(new String[] { "-N" } );
    	data = Filter.useFilter(data, binarize);
	}
	return data;
}

开发者ID:christopher-beckham，项目名称:weka-pyscript，代码行数:31，代码来源:Utility.java

示例2: testStandardise

import weka.filters.unsupervised.attribute.Standardize; //导入依赖的package包/类
/**
 * See if the standardise filter example behaves in the
 * exact same way as the one in WEKA.
 * @throws Exception
 */
@Test
public void testStandardise() throws Exception {
	DataSource ds = new DataSource("datasets/iris.arff");
	Instances data = ds.getDataSet();
	data.setClassIndex( data.numAttributes() - 1 );
	PyScriptFilter filter = new PyScriptFilter();
	filter.setPythonFile(new File("scripts/standardise.py"));
	filter.setInputFormat(data);
	
	Instances pyscriptData = Filter.useFilter(data, filter);
	
	Standardize filter2 = new Standardize();
	filter2.setInputFormat(data);
	
	Instances defaultStdData = Filter.useFilter(data, filter2);
	
	// test instances
	for(int x = 0; x < data.numInstances(); x++) {
		assertTrue( pyscriptData.get(x).toString().equals(defaultStdData.get(x).toString()) );
	}
}

开发者ID:christopher-beckham，项目名称:weka-pyscript，代码行数:27，代码来源:PyScriptFilterTest.java

示例3: createStandardizationFilter

import weka.filters.unsupervised.attribute.Standardize; //导入依赖的package包/类
/**
 * Standardizes the given data
 * 
 * @param isTrainingSet
 *            the Instances to be standardized
 * @return the standardized Instances
 */
public Standardize createStandardizationFilter(Instances isTrainingSet) {

	//Instances isTrainingSet_stand = null;

	Standardize filter = new Standardize();
	try {
		filter.setInputFormat(isTrainingSet); // initializing the filter
												// once with training set
		//isTrainingSet_stand = Filter.useFilter(isTrainingSet, filter);

	} catch (Exception e) {
		
		e.printStackTrace();
	}

	return filter;
}

开发者ID:socialsensor，项目名称:computational-verification，代码行数:25，代码来源:DataHandler.java

示例4: featureNormalize

import weka.filters.unsupervised.attribute.Standardize; //导入依赖的package包/类
public static Instances featureNormalize(Instances X, Standardize standartize) {
  Instances nX = null;
  try {

    nX = Filter.useFilter(X, standartize);    

  } catch (Exception e) {
    log.error("featureNormalize: caught exception ", e);
  }
  return nX;
}

开发者ID:LARG，项目名称:TacTex，代码行数:12，代码来源:RegressionUtils.java

示例5: fillCorrelation

import weka.filters.unsupervised.attribute.Standardize; //导入依赖的package包/类
/**
 * Fill the correlation matrix
 */
private void fillCorrelation() throws Exception {
  m_correlation = new double[m_numAttribs][m_numAttribs];
  double [] att1 = new double [m_numInstances];
  double [] att2 = new double [m_numInstances];
  double corr;

  for (int i = 0; i < m_numAttribs; i++) {
    for (int j = 0; j < m_numAttribs; j++) {
      for (int k = 0; k < m_numInstances; k++) {
        att1[k] = m_trainInstances.instance(k).value(i);
        att2[k] = m_trainInstances.instance(k).value(j);
      }
      if (i == j) {
        m_correlation[i][j] = 1.0;
          // store the standard deviation
        m_stdDevs[i] = Math.sqrt(Utils.variance(att1));
      } else {
        corr = Utils.correlation(att1,att2,m_numInstances);
        m_correlation[i][j] = corr;
        m_correlation[j][i] = corr;
      }
    }
  }
  
  // now standardize the input data
  m_standardizeFilter = new Standardize();
  m_standardizeFilter.setInputFormat(m_trainInstances);
  m_trainInstances = Filter.useFilter(m_trainInstances, m_standardizeFilter);
}

开发者ID:dsibournemouth，项目名称:autoweka，代码行数:33，代码来源:PrincipalComponents.java

示例6: fillCorrelation

import weka.filters.unsupervised.attribute.Standardize; //导入依赖的package包/类
/**
 * Fill the correlation matrix
 */
private void fillCorrelation() throws Exception {
  m_correlation = new double[m_numAttribs][m_numAttribs];
  double[] att1 = new double[m_numInstances];
  double[] att2 = new double[m_numInstances];
  double corr;

  for (int i = 0; i < m_numAttribs; i++) {
    for (int j = 0; j < m_numAttribs; j++) {
      for (int k = 0; k < m_numInstances; k++) {
        att1[k] = m_trainInstances.instance(k).value(i);
        att2[k] = m_trainInstances.instance(k).value(j);
      }
      if (i == j) {
        m_correlation[i][j] = 1.0;
        // store the standard deviation
        m_stdDevs[i] = Math.sqrt(Utils.variance(att1));
      } else {
        corr = Utils.correlation(att1, att2, m_numInstances);
        m_correlation[i][j] = corr;
        m_correlation[j][i] = corr;
      }
    }
  }

  // now standardize the input data
  m_standardizeFilter = new Standardize();
  m_standardizeFilter.setInputFormat(m_trainInstances);
  m_trainInstances = Filter.useFilter(m_trainInstances, m_standardizeFilter);
}

开发者ID:umple，项目名称:umple，代码行数:33，代码来源:PrincipalComponents.java

示例7: fillCorrelation

import weka.filters.unsupervised.attribute.Standardize; //导入依赖的package包/类
/**
 * Fill the correlation matrix
 */
private void fillCorrelation() throws Exception {
  m_correlation = new double[m_numAttribs][m_numAttribs];
  double [] att1 = new double [m_numInstances];
  double [] att2 = new double [m_numInstances];
  double corr;

  for (int i = 0; i < m_numAttribs; i++) {
    for (int j = 0; j < m_numAttribs; j++) {
      for (int k = 0; k < m_numInstances; k++) {
        att1[k] = m_trainInstances.instance(k).value(i);
        att2[k] = m_trainInstances.instance(k).value(j);
      }
      if (i == j) {
        m_correlation[i][j] = 1.0;
          // store the standard deviation
          m_stdDevs[i] = Math.sqrt(Utils.variance(att1));
      } else {
        corr = Utils.correlation(att1,att2,m_numInstances);
        m_correlation[i][j] = corr;
        m_correlation[j][i] = corr;
      }
    }
  }
  
  // now standardize the input data
  m_standardizeFilter = new Standardize();
  m_standardizeFilter.setInputFormat(m_trainInstances);
  m_trainInstances = Filter.useFilter(m_trainInstances, m_standardizeFilter);
}

开发者ID:williamClanton，项目名称:jbossBA，代码行数:33，代码来源:PrincipalComponents.java

示例8: standardizeData

import weka.filters.unsupervised.attribute.Standardize; //导入依赖的package包/类
public Instances standardizeData(Instances isTrainingSet, int classIndex,  Standardize filter) {
	Instances isTrainingSet_stand = null;
	
	try {
		isTrainingSet_stand = Filter.useFilter(isTrainingSet, filter);
		isTrainingSet_stand.setClassIndex(classIndex);
	} catch (Exception e) {
		System.out.println("Data Standardization cannot be performed! Please check your data!");
		e.printStackTrace();
	}
	
	return isTrainingSet_stand;
}

开发者ID:socialsensor，项目名称:computational-verification，代码行数:14，代码来源:DataHandler.java

示例9: WekaLinRegData

import weka.filters.unsupervised.attribute.Standardize; //导入依赖的package包/类
public WekaLinRegData(Standardize standardize, LinearRegression linearRegression, int timeslot) {
  this.standardize = standardize;      
  this.linearRegression = linearRegression;
  this.timeslot = timeslot;      
}

开发者ID:LARG，项目名称:TacTex，代码行数:6，代码来源:RegressionUtils.java

示例10: getStandardize

import weka.filters.unsupervised.attribute.Standardize; //导入依赖的package包/类
public Standardize getStandardize() {
  return standardize;
}

开发者ID:LARG，项目名称:TacTex，代码行数:4，代码来源:RegressionUtils.java

示例11: buildClassifier

import weka.filters.unsupervised.attribute.Standardize; //导入依赖的package包/类
/**
 * Builds the classifier
 * 
 * @param instances the training data
 * @throws Exception if the classifier could not be built successfully
 */
@Override
public void buildClassifier(Instances instances) throws Exception {

  // can classifier handle the data?
  getCapabilities().testWithFail(instances);

  // remove instances with missing class
  instances = new Instances(instances);
  instances.deleteWithMissingClass();

  // only class? -> build ZeroR model
  if (instances.numAttributes() == 1) {
    System.err
      .println("Cannot build model (only class attribute present in data!), "
        + "using ZeroR model instead!");
    m_ZeroR = new weka.classifiers.rules.ZeroR();
    m_ZeroR.buildClassifier(instances);
    return;
  } else {
    m_ZeroR = null;
  }

  m_standardize = new Standardize();
  m_standardize.setInputFormat(instances);
  instances = Filter.useFilter(instances, m_standardize);

  SimpleKMeans sk = new SimpleKMeans();
  sk.setNumClusters(m_numClusters);
  sk.setSeed(m_clusteringSeed);
  MakeDensityBasedClusterer dc = new MakeDensityBasedClusterer();
  dc.setClusterer(sk);
  dc.setMinStdDev(m_minStdDev);
  m_basisFilter = new ClusterMembership();
  m_basisFilter.setDensityBasedClusterer(dc);
  m_basisFilter.setInputFormat(instances);
  Instances transformed = Filter.useFilter(instances, m_basisFilter);

  if (instances.classAttribute().isNominal()) {
    m_linear = null;
    m_logistic = new Logistic();
    m_logistic.setRidge(m_ridge);
    m_logistic.setMaxIts(m_maxIts);
    m_logistic.buildClassifier(transformed);
  } else {
    m_logistic = null;
    m_linear = new LinearRegression();
    m_linear.setAttributeSelectionMethod(new SelectedTag(
      LinearRegression.SELECTION_NONE, LinearRegression.TAGS_SELECTION));
    m_linear.setRidge(m_ridge);
    m_linear.buildClassifier(transformed);
  }
}

开发者ID:dsibournemouth，项目名称:autoweka，代码行数:59，代码来源:RBFNetwork.java

示例12: buildClassifier

import weka.filters.unsupervised.attribute.Standardize; //导入依赖的package包/类
/**
 * Builds the classifier
 *
 * @param instances the training data
 * @throws Exception if the classifier could not be built successfully
 */
public void buildClassifier(Instances instances) throws Exception {

  // can classifier handle the data?
  getCapabilities().testWithFail(instances);

  // remove instances with missing class
  instances = new Instances(instances);
  instances.deleteWithMissingClass();
  
  // only class? -> build ZeroR model
  if (instances.numAttributes() == 1) {
    System.err.println(
 "Cannot build model (only class attribute present in data!), "
 + "using ZeroR model instead!");
    m_ZeroR = new weka.classifiers.rules.ZeroR();
    m_ZeroR.buildClassifier(instances);
    return;
  }
  else {
    m_ZeroR = null;
  }
  
  m_standardize = new Standardize();
  m_standardize.setInputFormat(instances);
  instances = Filter.useFilter(instances, m_standardize);

  SimpleKMeans sk = new SimpleKMeans();
  sk.setNumClusters(m_numClusters);
  sk.setSeed(m_clusteringSeed);
  MakeDensityBasedClusterer dc = new MakeDensityBasedClusterer();
  dc.setClusterer(sk);
  dc.setMinStdDev(m_minStdDev);
  m_basisFilter = new ClusterMembership();
  m_basisFilter.setDensityBasedClusterer(dc);
  m_basisFilter.setInputFormat(instances);
  Instances transformed = Filter.useFilter(instances, m_basisFilter);

  if (instances.classAttribute().isNominal()) {
    m_linear = null;
    m_logistic = new Logistic();
    m_logistic.setRidge(m_ridge);
    m_logistic.setMaxIts(m_maxIts);
    m_logistic.buildClassifier(transformed);
  } else {
    m_logistic = null;
    m_linear = new LinearRegression();
    m_linear.setAttributeSelectionMethod(new SelectedTag(LinearRegression.SELECTION_NONE,
					   LinearRegression.TAGS_SELECTION));
    m_linear.setRidge(m_ridge);
    m_linear.buildClassifier(transformed);
  }
}

开发者ID:williamClanton，项目名称:jbossBA，代码行数:59，代码来源:RBFNetwork.java

注：本文中的weka.filters.unsupervised.attribute.Standardize类示例整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。

鲜花

握手

雷人

路过

鸡蛋

该文章已有0人参与评论

请发表评论

全部评论

专题导读

More+

10-27 六六分期app的软件客服如何联系？(六六分期

11-06 可心卡盟:win10系统火狐flash插件崩溃怎么

11-06 亲亲特价:怎么删除回收站图标

11-06 济南大学虚拟社区:鲁大师节能降温的具体办

11-06 xlueops.exe:无线网络安装向导

11-06 女斗合众国:win7系统cf与主机连接不稳定怎

11-06 0xc000022-[cf烟雾头]cf怎么调烟雾头

11-06 qizideyouhuo:应用程序无法正常启动0xc0000

11-06 ipz-185:win7系统vcf文件怎么打开

11-06 傻哥蹦迪:win10系统s4怎么打开usb调试

11-06 八神浩树gtaste:回收站清空了怎么恢复

11-06 妖尾之黑色守护:win10系统电脑没有1440x900

11-06 校园至尊魔王小说:win7系统浏览网页时字体

11-06 女斗合众国:win10系统访问共享文件夹提示请

11-06 tokyo hot n0654:恢复win7系统默认字体一招

11-06 雨酷仙境:设置win7系统转移临时文件夹腾出

11-06 阿穆纳伊之杖:win7系统开始菜单在右边还原

11-06 tunespotting:win10系统火狐flash插件总是

11-06 甘尔葛分析师：计谋网站seo关键词暴涨有什

11-06 蔡贵霖: 计谋网站seo关键词暴涨有什么秘密

11-06 博益网首页:ao3网页版进入不了解决方法

11-06 漏斗子专栏: 网站数据分析小白易懂精华篇

11-06 见证双虹怎么做:win7系统开启telnet命令的

11-06 颾狐蝶蜋:系统资源不足无法完成请求的服务

11-06 国光中学校歌:提交网站到alexa查询详细步骤

11-06 西安有情天:静态网页和动态网页的区别

11-06 红木雅尚斋:外部链接构造对网站的好处

11-06 前官礼遇：防止域名劫持–增强域安全性的10

11-06 密传二转答案: 中文分词算法有哪些

11-06 金泉家园邮编:百度快照劫持的表现及应对方

Java IndexingException类代码示例发布时间：2022-05-22

Java Request类代码示例发布时间：2022-05-22

剪的笔顺,诠释剪的笔画,认识剪的部首

1 六六分期app的软件客服如何联系？(六六分期

六六分期app的软件客服如何联系？不知道吗？加qq群【895510560】即可！标题：六六分期

阅读：18245|2023-10-27

2 可心卡盟:win10系统火狐flash插件崩溃怎么

今天小编告诉大家如何处理win10系统火狐flash插件总是崩溃的问题，可能很多用户都不知

阅读：9668|2022-11-06

3 亲亲特价:怎么删除回收站图标

今天小编告诉大家如何对win10系统删除桌面回收站图标进行设置，可能很多用户都不知道

阅读：8175|2022-11-06

4 济南大学虚拟社区:鲁大师节能降温的具体办

今天小编告诉大家如何对win10系统电脑设置节能降温的设置方法，想必大家都遇到过需要

阅读：8547|2022-11-06

5 xlueops.exe:无线网络安装向导

我们在使用xp系统的过程中,经常需要对xp系统无线网络安装向导设置进行设置，可能很多

阅读：8454|2022-11-06

6 女斗合众国:win7系统cf与主机连接不稳定怎

今天小编告诉大家如何处理win7系统玩cf老是与主机连接不稳定的问题，可能很多用户都不

阅读：9383|2022-11-06

7 0xc000022-[cf烟雾头]cf怎么调烟雾头

电脑对日常生活的重要性小编就不多说了，可是一旦碰到win7系统设置cf烟雾头的问题，很

阅读：8426|2022-11-06

8 qizideyouhuo:应用程序无法正常启动0xc0000

我们在日常使用电脑的时候，有的小伙伴们可能在打开应用的时候会遇见提示应用程序无法

阅读：7858|2022-11-06

9 ipz-185:win7系统vcf文件怎么打开

今天小编告诉大家如何对win7系统打开vcf文件进行设置，可能很多用户都不知道怎么对win

阅读：8410|2022-11-06

10 傻哥蹦迪:win10系统s4怎么打开usb调试

今天小编告诉大家如何对win10系统s4开启USB调试模式进行设置，可能很多用户都不知道怎

阅读：7394|2022-11-06

客服电话

电子邮件

Java Standardize类代码示例

示例1: preProcessData

示例2: testStandardise

示例3: createStandardizationFilter

示例4: featureNormalize

示例5: fillCorrelation

示例6: fillCorrelation

示例7: fillCorrelation

示例8: standardizeData

示例9: WekaLinRegData

示例10: getStandardize

示例11: buildClassifier

示例12: buildClassifier

请发表评论

全部评论

上一篇：

下一篇：

bradtraversy/iweather: Ionic 3 mobile we

微信小程序如何刷新当前界面

joaomh/curso-de-matlab

断牙刷新位置时间（断牙属性及刷新位置介绍

rugk/mastodon-simplified-federation: Sim

剪的笔顺,诠释剪的笔画,认识剪的部首

六六分期app的软件客服如何联系？(六六分期

florent37/ViewAnimator: A fluent Android

florent37/Shrine-MaterialDesign2: implem

CVE-2020-36276

SimpleSoftwareIO/simple-sms: Send and re

关于我们

产品与服务

解决方案

139-2527-9053