def setExperimentFromArgs(self, args):
factory = ActiveLearningConfFactory.getFactory()
conf = factory.fromArgs(args.strategy, args, logger=self.logger)
self.setConf(conf,
args.features_file,
annotations_filename=args.init_annotations_file)
self.export()
def fromJson(obj, secuml_conf):
experiment = ActiveLearningExperiment(secuml_conf)
experiment.initExperiment(obj['project'], obj['dataset'],
create=False)
conf = ActiveLearningConfFactory.getFactory().fromJson(obj['conf'])
Experiment.expParamFromJson(experiment, obj, conf)
experiment.query_strategy = obj['query_strategy']
return experiment
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 fromJson(obj, session):
experiment = RareCategoryDetectionExperiment(obj['project'],
obj['dataset'],
session,
create=False)
conf = ActiveLearningConfFactory.getFactory().fromJson(obj['conf'])
ActiveLearningExperiment.expParamFromJson(experiment, obj, conf)
experiment.query_strategy = obj['query_strategy']
return experiment
def setExperimentFromArgs(self, args):
factory = ActiveLearningConfFactory.getFactory()
conf = factory.fromArgs('RareCategoryDetection',
args,
logger=self.logger)
self.initExperiment(args.project, args.dataset)
self.setConf(conf,
args.features_file,
annotations_filename=args.init_annotations_file)
self.export()
def generateParser():
parser = argparse.ArgumentParser(
description='Active Learning',
formatter_class=argparse.RawTextHelpFormatter)
Experiment.projectDatasetFeturesParser(parser)
subparsers = parser.add_subparsers(dest='strategy')
subparsers.required = True
factory = ActiveLearningConfFactory.getFactory()
strategies = factory.getStrategies()
for strategy in strategies:
strategy_parser = subparsers.add_parser(strategy)
factory.generateParser(strategy, strategy_parser)
return parser
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