public void run() {
long start = System.currentTimeMillis();
// Find the corresponding hNodePath. Used to find examples for training the CRF Model.
HNodePath currentColumnPath = null;
List<HNodePath> paths = worksheet.getHeaders().getAllPaths();
for (HNodePath path : paths) {
if (path.getLeaf().getId().equals(newType.getHNodeId())) {
currentColumnPath = path;
break;
}
}
Map<ColumnFeature, Collection<String>> columnFeatures =
new HashMap<ColumnFeature, Collection<String>>();
// Prepare the column name for training
String columnName = currentColumnPath.getLeaf().getColumnName();
Collection<String> columnNameList = new ArrayList<String>();
columnNameList.add(columnName);
columnFeatures.put(ColumnFeature.ColumnHeaderName, columnNameList);
// Train the model with the new type
ArrayList<String> trainingExamples =
SemanticTypeUtil.getTrainingExamples(worksheet, currentColumnPath);
boolean trainingResult = false;
String newTypeString =
(newType.getDomain() == null)
? newType.getType().getUri()
: newType.getDomain().getUri() + "|" + newType.getType().getUri();
trainingResult =
crfModelHandler.addOrUpdateLabel(newTypeString, trainingExamples, columnFeatures);
if (!trainingResult) {
logger.error("Error occured while training CRF Model.");
}
// logger.debug("Using type:" + newType.getDomain().getUri() + "|" +
// newType.getType().getUri());
// Add the new CRF column model for this column
ArrayList<String> labels = new ArrayList<String>();
ArrayList<Double> scores = new ArrayList<Double>();
trainingResult =
crfModelHandler.predictLabelForExamples(
trainingExamples, 4, labels, scores, null, columnFeatures);
if (!trainingResult) {
logger.error("Error occured while predicting labels");
}
CRFColumnModel newModel = new CRFColumnModel(labels, scores);
worksheet.getCrfModel().addColumnModel(newType.getHNodeId(), newModel);
long elapsedTimeMillis = System.currentTimeMillis() - start;
float elapsedTimeSec = elapsedTimeMillis / 1000F;
logger.info("Time required for training the semantic type: " + elapsedTimeSec);
// long t2 = System.currentTimeMillis();
// Identify the outliers for the column
// SemanticTypeUtil.identifyOutliers(worksheet, newTypeString,currentColumnPath,
// vWorkspace.getWorkspace().getTagsContainer()
// .getTag(TagName.Outlier), columnFeatures, crfModelHandler);
// long t3 = System.currentTimeMillis();
// logger.info("Identify outliers: "+ (t3-t2));
}
