本文整理了Java中weka.core.Utils.splitOptions()
方法的一些代码示例,展示了Utils.splitOptions()
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。Utils.splitOptions()
方法的具体详情如下:
包路径:weka.core.Utils
类名称:Utils
方法名:splitOptions
[英]Split up a string containing options into an array of strings, one for each option.
[中]将包含选项的字符串拆分为字符串数组,每个选项对应一个字符串。
代码示例来源:origin: nz.ac.waikato.cms.weka/weka-stable
/**
* Split up a string containing options into an array of strings, one for each
* option.
*
* @param quotedOptionString the string containing the options
* @return the array of options
* @throws Exception in case of an unterminated string, unknown character or a
* parse error
*/
public static String[] splitOptions(String quotedOptionString)
throws Exception {
return splitOptions(quotedOptionString, null, null);
}
代码示例来源:origin: Waikato/weka-trunk
/**
* Split up a string containing options into an array of strings, one for each
* option.
*
* @param quotedOptionString the string containing the options
* @return the array of options
* @throws Exception in case of an unterminated string, unknown character or a
* parse error
*/
public static String[] splitOptions(String quotedOptionString)
throws Exception {
return splitOptions(quotedOptionString, null, null);
}
代码示例来源:origin: net.sf.meka/meka
/**
* Gets the current settings of the classifier.
*
* @return an array of strings suitable for passing to setOptions
*/
public String [] getOptions() {
//These are just examples, modify to suit your algorithm
String [] options = new String [3];
try{
options =weka.core.Utils.splitOptions("-P 0.9 -K");
}catch (Exception ex) {
System.out.println(ex.getMessage());
}
return options;
}
代码示例来源:origin: Waikato/weka-trunk
/**
* returns the current DOM document as string array.
*
* @return the document as string array
* @throws Exception if anything goes wrong initializing the parsing
*/
public String[] toArray() throws Exception {
return Utils.splitOptions(toCommandLine());
}
代码示例来源:origin: nz.ac.waikato.cms.weka/weka-stable
/**
* returns the current DOM document as string array.
*
* @return the document as string array
* @throws Exception if anything goes wrong initializing the parsing
*/
public String[] toArray() throws Exception {
return Utils.splitOptions(toCommandLine());
}
代码示例来源:origin: dnmilne/wikipediaminer
public void buildDefaultClassifier() throws Exception {
Logger.getLogger(TopicIndexer.class).info("building classifier") ;
Classifier classifier = new Bagging() ;
classifier.setOptions(Utils.splitOptions("-P 10 -S 1 -I 10 -W weka.classifiers.trees.J48 -- -U -M 2")) ;
decider.train(classifier, dataset) ;
}
代码示例来源:origin: nz.ac.waikato.cms.moa/moa
@Override
public void resetLearningImpl() {
try {
//System.out.println(baseLearnerOption.getValue());
String[] options = weka.core.Utils.splitOptions(baseLearnerOption.getValueAsCLIString());
createWekaClassifier(options);
} catch (Exception e) {
System.err.println("[ERROR] Creating a new classifier: " + e.getMessage());
}
isClassificationEnabled = false;
//this.isBufferStoring = true;
this.instanceConverter = new SamoaToWekaInstanceConverter();
}
代码示例来源:origin: nz.ac.waikato.cms.moa/moa
@Override
public void resetLearningImpl() {
try {
//System.out.println(baseLearnerOption.getValue());
String[] options = weka.core.Utils.splitOptions(baseLearnerOption.getValueAsCLIString());
createWekaClassifier(options);
} catch (Exception e) {
System.err.println("Creating a new classifier: " + e.getMessage());
}
numberInstances = 0;
isClassificationEnabled = false;
this.isBufferStoring = true;
this.instanceConverter = new SamoaToWekaInstanceConverter();
}
代码示例来源:origin: com.github.fracpete/multisearch-weka-package
/**
* Splits the list string using the appropriate delimiter.
*
* @return the list items
* @throws Exception if the splitting fails
*/
public String[] getItems() throws Exception {
String[] result;
if (getCustomDelimiter().isEmpty())
result = Utils.splitOptions(getList());
else
result = getList().split(getCustomDelimiter());
return result;
}
代码示例来源:origin: dnmilne/wikipediaminer
public void buildDefaultClassifier() throws Exception {
Classifier classifier = new Bagging() ;
classifier.setOptions(Utils.splitOptions("-P 10 -S 1 -I 10 -W weka.classifiers.trees.J48 -- -U -M 2")) ;
decider.train(classifier, dataset) ;
}
代码示例来源:origin: dnmilne/wikipediaminer
public void buildDefaultClassifier() throws Exception {
Classifier classifier = new Bagging() ;
classifier.setOptions(Utils.splitOptions("-P 10 -S 1 -I 10 -W weka.classifiers.trees.J48 -- -U -M 2")) ;
decider.train(classifier, dataset) ;
}
代码示例来源:origin: dnmilne/wikipediaminer
public void buildDefaultClassifiers() throws Exception {
Classifier ssClassifier = new Bagging() ;
ssClassifier.setOptions(Utils.splitOptions("-P 10 -S 1 -I 10 -W weka.classifiers.trees.J48 -- -U -M 2")) ;
senseSelector.train(ssClassifier, senseDataset) ;
Classifier rmClassifier = new GaussianProcesses() ;
relatednessMeasurer.train(rmClassifier, relatednessDataset) ;
}
代码示例来源:origin: com.github.fracpete/multisearch-weka-package
public void testMLPLayersParamIllegalLayerSizeRaises() {
MLPLayersParameter mlplayers = new MLPLayersParameter();
String options = "-minLayerSize 4 -maxLayerSize 2";
try {
mlplayers.setOptions(Utils.splitOptions(options));
fail("expected error was not raised");
} catch (Exception e) {
String expected = "minLayerSize should be smaller than or equal to maxLayerSize";
assertEquals(expected, e.getMessage());
}
}
代码示例来源:origin: com.github.fracpete/multisearch-weka-package
public void testMLPLayersParamIllegalBothRaises() {
MLPLayersParameter mlplayers = new MLPLayersParameter();
String options = "-minLayers 2 -maxLayers 2 -minLayerSize 4 -maxLayerSize 4";
try {
mlplayers.setOptions(Utils.splitOptions(options));
fail("expected error was not raised");
} catch (Exception e) {
String expected = "no variation in layer structure possible";
assertEquals(expected, e.getMessage());
}
}
代码示例来源:origin: nz.ac.waikato.cms.weka/distributedWekaBase
protected WekaClassifierMapTask setupIncrementalRegressor() {
WekaClassifierMapTask task = new WekaClassifierMapTask();
weka.classifiers.functions.SGD sgd = new weka.classifiers.functions.SGD();
try {
sgd.setOptions(Utils.splitOptions("-F 2"));
task.setClassifier(sgd);
} catch (Exception e) {
e.printStackTrace();
}
return task;
}
代码示例来源:origin: com.github.fracpete/multisearch-weka-package
public void testMLPLayersParamIllegalLayersRaises() {
MLPLayersParameter mlplayers = new MLPLayersParameter();
String options = "-minLayers 4 -maxLayers 2";
try {
mlplayers.setOptions(Utils.splitOptions(options));
fail("expected error was not raised");
} catch (Exception e) {
String expected = "minLayers should be smaller than or equal to maxLayers";
assertEquals(expected, e.getMessage());
}
}
代码示例来源:origin: com.github.fracpete/multisearch-weka-package
public void testListParameterFlag() throws Exception {
ListParameter listparameter = new ListParameter();
String options = "-list \"true false\" -property \"unpruned\"";
listparameter.setOptions(Utils.splitOptions(options));
Vector<Performance> results = searchValuesAll(listparameter, new J48());
Map<Boolean, Boolean> expectedValues = new HashMap<Boolean, Boolean>();
for (Performance result : results) {
J48 current = (J48) result.m_Classifier;
expectedValues.put(current.getUnpruned(), true);
}
verifyExpectedValues(expectedValues, 2);
assertEquals(expectedValues.size(), 2);
}
}
代码示例来源:origin: com.github.fracpete/multisearch-weka-package
public void testMLPLayersParamLarge() throws Exception {
MLPLayersParameter mlplayers = new MLPLayersParameter();
String options = "-minLayers 1 -maxLayers 32 -minLayerSize 128 -maxLayerSize 256";
mlplayers.setOptions(Utils.splitOptions(options));
assertTrue(mlplayers.getMinLayers() == 1);
assertTrue(mlplayers.getMaxLayers() == 32);
assertTrue(mlplayers.getMinLayerSize() == 128);
assertTrue(mlplayers.getMaxLayerSize() == 256);
String[] items = mlplayers.getItems();
assertTrue(items.length == MLPLayersParameter.MAX_CANDIDATES_TO_GENERATE);
}
代码示例来源:origin: com.github.fracpete/multisearch-weka-package
public void testMLPLayersParamSmall() throws Exception {
MLPLayersParameter mlplayers = new MLPLayersParameter();
String options = "-minLayers 1 -maxLayers 2 -minLayerSize 4 -maxLayerSize 8";
mlplayers.setOptions(Utils.splitOptions(options));
assertTrue(mlplayers.getMinLayers() == 1);
assertTrue(mlplayers.getMaxLayers() == 2);
assertTrue(mlplayers.getMinLayerSize() == 4);
assertTrue(mlplayers.getMaxLayerSize() == 8);
String[] items = mlplayers.getItems();
int expectedSize = 30; // 5^1 + 5^2
assertTrue(expectedSize == mlplayers.calculateNumberOfCandidates());
assertTrue(items.length == expectedSize);
}
代码示例来源:origin: com.github.fracpete/multisearch-weka-package
public void testMLPLayersParamMedium() throws Exception {
MLPLayersParameter mlplayers = new MLPLayersParameter();
String options = "-minLayers 1 -maxLayers 4 -minLayerSize 9 -maxLayerSize 16";
mlplayers.setOptions(Utils.splitOptions(options));
assertTrue(mlplayers.getMinLayers() == 1);
assertTrue(mlplayers.getMaxLayers() == 4);
assertTrue(mlplayers.getMinLayerSize() == 9);
assertTrue(mlplayers.getMaxLayerSize() == 16);
String[] items = mlplayers.getItems();
int expectedSize = 4680; // * 8^1 + 8^2 + 8^3 + 8^4
assertTrue(expectedSize == mlplayers.calculateNumberOfCandidates());
assertTrue(items.length == expectedSize);
}
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