def saveInstancesLabels(self, output_filename):
with open(output_filename, 'w') as f:
print >> f, 'instance_id,label,family'
for i in range(self.numInstances()):
instance_id = self.ids[i]
label = labels_tools.labelBooleanToString(self.labels[i])
family = self.families[i]
print >> f, str(instance_id) + ',' + label + ',' + family
def addInstance(self, instance_id, distance, label, family, annotated):
self.instances_ids.append(instance_id)
self.distances.append(distance)
label = labels_tools.labelBooleanToString(label)
if family is not None:
key = label + '__' + family
if key not in self.clusters_families_stats:
self.clusters_families_stats[key] = 0
self.clusters_families_stats[key] += 1
if annotated:
self.num_annotated_instances += 1
def annotateAuto(self, iteration, kind):
instances = iteration.datasets.instances
label = instances.getLabel(self.instance_id, true_labels=True)
label = labels_tools.labelBooleanToString(label)
family = instances.getFamily(self.instance_id, true_labels=True)
# Update the datasets
self.updateDatasets(iteration, label, family)
# Update in the database
method = kind + '__annotation'
labels_tools.addLabel(iteration.experiment.session,
iteration.experiment.labels_id, self.instance_id,
label, family, iteration.iteration_number,
method, True)
iteration.experiment.session.commit()