private SimilarityMetric createLinkSimilarity(String name)
throws ConfigurationException, IOException {
JSONObject params = configuration.getMetric(name);
SimilarityMetric metric;
String field = requireString(params, "field");
LinkSimilarity lmetric =
new LinkSimilarity(
loadMainMapper(),
loadIndex(requireString(params, "lucene")),
env.getMainIndex(),
field);
if (params.containsKey("similarity")) {
String sim = requireString(params, "similarity");
if (sim.equals("tfidf")) {
lmetric.setSimilarity(LinkSimilarity.SimFn.TFIDF);
} else if (sim.equals("google")) {
lmetric.setSimilarity(LinkSimilarity.SimFn.GOOGLE);
} else if (sim.equals("logodds")) {
lmetric.setSimilarity(LinkSimilarity.SimFn.LOGODDS);
} else if (sim.equals("jacard")) {
lmetric.setSimilarity(LinkSimilarity.SimFn.JACARD);
} else if (sim.equals("lucene")) {
lmetric.setSimilarity(LinkSimilarity.SimFn.LUCENE);
} else {
throw new IllegalArgumentException("unknown similarity: " + sim);
}
}
if (params.containsKey("minDocFreq")) {
lmetric.setMinDocFreq(requireInteger(params, "minDocFreq"));
}
metric = lmetric;
return metric;
}
private SimilarityMetric loadEnsembleMetric(String key)
throws IOException, ConfigurationException {
info("loading ensemble metric " + key);
Map<String, Object> params = (Map<String, Object>) configuration.getMetric(key);
setDoEnsembles(false);
List<SimilarityMetric> metrics = loadMetrics();
EnsembleSimilarity similarity =
new EnsembleSimilarity(new SvmEnsemble(), loadMainMapper(), env.getMainIndex());
similarity.setComponents(metrics);
similarity.read(requireDirectory(params, "model"));
similarity.setName(key);
if (params.containsKey("minComponents")) {
similarity.setMinComponents(requireInteger(params, "minComponents"));
}
return similarity;
}