本文整理汇总了Java中cc.mallet.types.AugmentableFeatureVector.numLocations方法的典型用法代码示例。如果您正苦于以下问题：Java AugmentableFeatureVector.numLocations方法的具体用法？Java AugmentableFeatureVector.numLocations怎么用？Java AugmentableFeatureVector.numLocations使用的例子？那么, 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cc.mallet.types.AugmentableFeatureVector的用法示例。
在下文中一共展示了AugmentableFeatureVector.numLocations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: createSubset
import cc.mallet.types.AugmentableFeatureVector; //导入方法依赖的package包/类
public DataHandler createSubset(Collection<String> instancesSelected, Set<String> featuresSelected) throws DataMiningException {
MalletDataHandler dh = new MalletDataHandler();
Map<String, Object> param = new HashMap<String, Object>();
param.put("useFeatureSet", this);
dh.createNewDataset(param);
dh.featureAlphabet = new FeatureSequence(new Alphabet());
dh.featureAlphabet.getAlphabet().startGrowth();
dh.data = new InstanceList(dh.featureAlphabet.getAlphabet(), dh.labelAlphabet);
for (String inst : instancesSelected) {
AugmentableFeatureVector fv = this.getInstanceData(inst);
for (int i = 0; i < fv.numLocations(); ++i) {
String featurename = (String) fv.getAlphabet().lookupObject(fv.getIndices()[i]);
if (featuresSelected.contains(featurename)) {
dh.setDoubleValue(inst, featurename, fv.getValues()[i]);
}
}
dh.setLabel(inst, this.getLabel(inst));
}
return dh;
}
示例2: saveDatasetMallet
import cc.mallet.types.AugmentableFeatureVector; //导入方法依赖的package包/类
public void saveDatasetMallet(String target) {
try {
PrintWriter out = new PrintWriter(target);
for (String id : instanceIds.keySet()) {
out.print(id + "@" + getLabel(id));
AugmentableFeatureVector fv = getInstanceData(id);
for (int i = 0; i < fv.numLocations(); ++i) {
out.print("\t" + featureAlphabet.getAlphabet().lookupObject(fv.getIndices()[i]) + ":" + fv.getValues()[i]);
}
out.println();
}
out.close();
} catch (FileNotFoundException e) {
e.printStackTrace();
}
}
示例3: pipe
import cc.mallet.types.AugmentableFeatureVector; //导入方法依赖的package包/类
public Instance pipe (Instance carrier)
{
AugmentableFeatureVector afv = (AugmentableFeatureVector)carrier.getData();
double v;
for (int i = afv.numLocations() - 1; i >= 0; i--) {
v = afv.valueAtLocation (i);
if (v >= 1)
afv.setValueAtLocation (i, Math.log(v)+1);
}
return carrier;
}
开发者ID:kostagiolasn，项目名称:NucleosomePatternClassifier，代码行数:12，代码来源:AugmentableFeatureVectorLogScale.java
示例4: addDataHandler
import cc.mallet.types.AugmentableFeatureVector; //导入方法依赖的package包/类
public void addDataHandler(DataHandler dh) throws DataMiningException {
if (!(dh instanceof MalletDataHandler)) {
throw new DataMiningException("MalletDataHandler can add just MalletDataHandlers");
}
for (String inst : dh.getInstanceIds()) {
AugmentableFeatureVector fv = ((MalletDataHandler) dh).getInstanceData(inst);
for (int i = 0; i < fv.numLocations(); ++i) {
this.setDoubleValue(inst, (String) fv.getAlphabet().lookupObject(fv.getIndices()[i]), fv.getValues()[i]);
}
this.setLabel(inst, dh.getLabel(inst));
}
}
示例5: saveDatasetWeka
import cc.mallet.types.AugmentableFeatureVector; //导入方法依赖的package包/类
public void saveDatasetWeka(String target) {
try {
if (!target.endsWith(".arff")) {
target += ".arff";
}
PrintWriter out = new PrintWriter(target);
out.println("@relation MalletData");
for (Object f : data.getAlphabet().toArray()) {
String name = f.toString().replaceAll("'", "");
out.println("@attribute '" + name + "' numeric");
}
out.println("@attribute classlabel {0,1}");
out.println("@data");
for (String id : instanceIds.keySet()) {
out.print("{");
AugmentableFeatureVector fv = getInstanceData(id);
for (int i = 0; i < fv.numLocations(); ++i) {
if (i > 0) {
out.print(",");
}
out.print((fv.getIndices()[i]) + " " + fv.getValues()[i]);
}
if ((boolean) getLabel(id)) {
out.print("," + data.getAlphabet().size() + " 1");
}
out.println("}");
}
out.close();
} catch (FileNotFoundException e) {
e.printStackTrace();
}
}