def fromJson(obj, session):
experiment = ActiveLearningExperiment(obj['project'], obj['dataset'], session)
Experiment.expParamFromJson(experiment, obj)
experiment.labeling_method = obj['labeling_method']
experiment.conf = ActiveLearningConfFactory.getFactory().fromJson(
obj['conf'], experiment)
return experiment
def setExperimentFromArgs(self, args):
self.setFeaturesFilenames(args.features_files)
factory = ActiveLearningConfFactory.getFactory()
active_learning_conf = factory.fromArgs('RareCategoryDetection', args, self)
self.setConfiguration(active_learning_conf)
self.initLabels(args.init_labels_file)
self.export()
def generateParser():
parser = argparse.ArgumentParser(description = 'Rare Category Detection',
formatter_class = argparse.RawTextHelpFormatter)
ActiveLearningExperiment.projectDatasetFeturesParser(parser)
factory = ActiveLearningConfFactory.getFactory()
factory.generateParser('RareCategoryDetection', parser)
return parser
def setExperimentFromArgs(self, args):
self.setFeaturesFilenames(args.features_files)
factory = ActiveLearningConfFactory.getFactory()
active_learning_conf = factory.fromArgs(args.strategy, args, self)
self.setConfiguration(active_learning_conf)
self.checkInputParams()
self.initLabels(args.init_labels_file)
self.export()
def fromJson(obj, db, cursor):
experiment = ActiveLearningExperiment(obj['project'], obj['dataset'], db, cursor)
Experiment.expParamFromJson(experiment, obj)
experiment.labeling_method = obj['labeling_method']
# Validation configuration
experiment.validation_conf = None
if obj['validation_conf'] is not None:
experiment.validation_conf = TestConfiguration.fromJson(obj['validation_conf'], experiment)
experiment.conf = ActiveLearningConfFactory.getFactory().fromJson(obj['conf'], experiment)
return experiment
def generateParser():
parser = argparse.ArgumentParser(description = 'Active Learning',
formatter_class = argparse.RawTextHelpFormatter)
Experiment.projectDatasetFeturesParser(parser)
strategies = ['Ilab', 'RandomSampling', 'UncertaintySampling',
'CesaBianchi', 'Aladin', 'Gornitz']
subparsers = parser.add_subparsers(dest = 'strategy')
factory = ActiveLearningConfFactory.getFactory()
for strategy in strategies:
strategy_parser = subparsers.add_parser(strategy)
factory.generateParser(strategy, strategy_parser)
return parser