def initLabels(self, labels_filename=None, overwrite=True):
if isinstance(self.conf, SemiSupervisedProjectionConfiguration):
if labels_filename is None:
message = 'Semi supervised projections require annotated instances. '
message += 'labels_filename must be specified.'
raise ValueError(message)
Experiment.initLabels(self,
labels_filename=labels_filename,
overwrite=overwrite)
def loadTrueLabels(self):
labels_file = dir_tools.getDatasetDirectory(self.project, self.dataset)
labels_file += 'labels/true_labels.csv'
# Loads the true labels in the table TrueLabels if the file exists
# Otherwise the table TrueLabels is not created
if not dir_tools.checkFileExists(labels_file):
print >> sys.stderr, 'No ground truth labels for this dataset'
return
exp = Experiment(self.project,
self.dataset,
self.db,
self.cursor,
experiment_name='true_labels')
exp.initLabels('true_labels.csv')