/**
* Constructs an atomic model.
*
* @param index the index of the atomic model (-1..n), where -1 is special value (used by a single
* model or the master divide model) and n is number of divide models.
* @param features the feature vector used by the atomic model.
* @param parent the parent guide model.
* @throws MaltChainedException
*/
public AtomicModel(int index, FeatureVector features, Model parent) throws MaltChainedException {
setParent(parent);
setIndex(index);
if (index == -1) {
setModelName(parent.getModelName() + ".");
} else {
setModelName(parent.getModelName() + "." + new Formatter().format("%03d", index) + ".");
}
setFeatures(features);
setFrequency(0);
initMethod();
if (getGuide().getGuideMode() == ClassifierGuide.GuideMode.BATCH
&& index == -1
&& getGuide().getConfiguration().getConfigurationDir().getInfoFileWriter() != null) {
try {
getGuide()
.getConfiguration()
.getConfigurationDir()
.getInfoFileWriter()
.write(method.toString());
getGuide().getConfiguration().getConfigurationDir().getInfoFileWriter().flush();
} catch (IOException e) {
throw new GuideException("Could not write learner settings to the information file. ", e);
}
}
}
/**
* Loads the feature divide model settings .fsm file.
*
* @throws MaltChainedException
*/
protected void load() throws MaltChainedException {
try {
final BufferedReader in =
new BufferedReader(
getGuide()
.getConfiguration()
.getConfigurationDir()
.getInputStreamReader(getModelName() + ".dsm"));
final Pattern tabPattern = Pattern.compile("\t");
while (true) {
String line = in.readLine();
if (line == null) break;
String[] cols = tabPattern.split(line);
if (cols.length != 2) {
throw new GuideException("");
}
int code = -1;
int freq = 0;
try {
code = Integer.parseInt(cols[0]);
freq = Integer.parseInt(cols[1]);
} catch (NumberFormatException e) {
throw new GuideException(
"Could not convert a string value into an integer value when loading the feature divide model settings (.fsm). ",
e);
}
if (code == -1) {
masterModel = new AtomicModel(-1, masterFeatureVector, this);
masterModel.setFrequency(freq);
} else if (divideModels != null) {
divideModels.put(code, new AtomicModel(code, divideFeatureVector, this));
divideModels.get(code).setFrequency(freq);
}
setFrequency(getFrequency() + freq);
}
in.close();
} catch (IOException e) {
throw new GuideException(
"Could not read from the guide model settings file '"
+ getModelName()
+ ".dsm"
+ "', when "
+ "loading the guide model settings. ",
e);
}
}
