Esempio n. 1
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 def gen_parser():
     parser = argparse.ArgumentParser(
                              description='Rare Category Detection',
                              formatter_class=argparse.RawTextHelpFormatter)
     ExpConf.gen_parser(parser, filters=True, sparse=True)
     AnnotationsConf.gen_parser(
                 parser, default='init_annotations.csv', required=False,
                 message='CSV file containing the initial annotations '
                         'used to learn the first supervised detection '
                         'model.')
     strategies_conf.get_factory().gen_parser('Rcd', parser)
     return parser
Esempio n. 2
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 def gen_parser():
     parser = argparse.ArgumentParser(
             description='Active Learning',
             formatter_class=argparse.RawTextHelpFormatter)
     ExpConf.gen_parser(parser, filters=True, sparse=True)
     AnnotationsConf.gen_parser(
                 parser, default=None, required=False,
                 message='CSV file containing the initial annotations '
                         'used to learn the first detection model.')
     subparsers = parser.add_subparsers(dest='strategy')
     subparsers.required = True
     strategies = strategies_conf.get_factory().get_methods()
     for strategy in strategies:
         strategy_parser = subparsers.add_parser(strategy)
         strategies_conf.get_factory().gen_parser(strategy, strategy_parser)
     return parser
Esempio n. 3
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 def from_args(args):
     secuml_conf = ExpConf.secuml_conf_from_args(args)
     logger = secuml_conf.logger
     dataset_conf = DatasetConf.from_args(args, logger)
     features_conf = FeaturesConf.from_args(args, logger)
     annotations_conf = AnnotationsConf(args.annotations_file, None, logger)
     core_conf = strategies_conf.get_factory().from_args('Rcd', args,
                                                         logger)
     return RcdConf(secuml_conf, dataset_conf, features_conf,
                    annotations_conf, core_conf, name=args.exp_name)
Esempio n. 4
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 def from_args(args):
     secuml_conf = ExpConf.secuml_conf_from_args(args)
     dataset_conf = DatasetConf.from_args(args, secuml_conf.logger)
     features_conf = FeaturesConf.from_args(args, secuml_conf.logger)
     annotations_conf = AnnotationsConf(args.annotations_file, None,
                                        secuml_conf.logger)
     core_conf = strategies_conf.get_factory().from_args(args.strategy,
                                                         args,
                                                         secuml_conf.logger)
     return ActiveLearningConf(secuml_conf, dataset_conf, features_conf,
                               annotations_conf, core_conf,
                               name=args.exp_name)
Esempio n. 5
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 def from_json(conf_json, secuml_conf):
     logger = secuml_conf.logger
     dataset_conf = DatasetConf.from_json(conf_json['dataset_conf'], logger)
     features_conf = FeaturesConf.from_json(conf_json['features_conf'],
                                            logger)
     annotations_conf = AnnotationsConf.from_json(
                                              conf_json['annotations_conf'],
                                              logger)
     factory = strategies_conf.get_factory()
     core_conf = factory.from_json(conf_json['core_conf'], logger)
     conf = RcdConf(secuml_conf, dataset_conf, features_conf,
                    annotations_conf, core_conf, name=conf_json['name'],
                    parent=conf_json['parent'])
     conf.exp_id = conf_json['exp_id']
     return conf