def from_json(obj, logger):
projection_conf = None
if obj['projection_conf'] is not None:
proj_factory = ProjectionConfFactory.getFactory()
projection_conf = proj_factory.from_json(obj['projection_conf'],
logger)
return KmeansConf(logger, obj['num_clusters'],
projection_conf=projection_conf)
def fromArgs(args):
secuml_conf = ExpConf.common_from_args(args)
dataset_conf = DatasetConf.fromArgs(args, secuml_conf.logger)
features_conf = FeaturesConf.fromArgs(args, secuml_conf.logger)
annotations_conf = AnnotationsConf(args.annotations_file, None,
secuml_conf.logger)
factory = ProjectionConfFactory.getFactory()
core_conf = factory.fromArgs(args.algo, args, secuml_conf.logger)
return ProjectionConf(secuml_conf,
dataset_conf,
features_conf,
annotations_conf,
core_conf,
experiment_name=args.exp_name)
def generateParser():
parser = argparse.ArgumentParser(
description='Projection of the data for data visualization.')
ExpConf.generateParser(parser)
AnnotationsConf.generateParser(
parser,
message='CSV file containing the annotations of some'
' instances. These annotations are used for '
'semi-supervised projections.')
algos = ['Pca', 'Rca', 'Lda', 'Lmnn', 'Nca', 'Itml']
subparsers = parser.add_subparsers(dest='algo')
subparsers.required = True
factory = ProjectionConfFactory.getFactory()
for algo in algos:
algo_parser = subparsers.add_parser(algo)
factory.generateParser(algo, algo_parser)
return parser
def from_json(conf_json, secuml_conf):
dataset_conf = DatasetConf.from_json(conf_json['dataset_conf'],
secuml_conf.logger)
features_conf = FeaturesConf.from_json(conf_json['features_conf'],
secuml_conf.logger)
annotations_conf = AnnotationsConf.from_json(
conf_json['annotations_conf'], secuml_conf.logger)
factory = ProjectionConfFactory.getFactory()
core_conf = factory.from_json(conf_json['core_conf'],
secuml_conf.logger)
conf = ProjectionConf(secuml_conf,
dataset_conf,
features_conf,
annotations_conf,
core_conf,
experiment_name=conf_json['experiment_name'],
parent=conf_json['parent'])
conf.experiment_id = conf_json['experiment_id']
return conf
from SecuML.core.projection.algos.Lda import Lda
from SecuML.core.projection.conf import ProjectionConfFactory
from .SemiSupervisedProjectionConf import SemiSupervisedProjectionConf
class LdaConf(SemiSupervisedProjectionConf):
def __init__(self, logger, num_components=None, families_supervision=None):
SemiSupervisedProjectionConf.__init__(
self,
logger,
Lda,
num_components=num_components,
families_supervision=families_supervision)
@staticmethod
def fromArgs(args, logger):
return LdaConf(logger,
num_components=args.num_components,
families_supervision=args.families_supervision)
@staticmethod
def from_json(obj, logger):
return LdaConf(logger,
num_components=obj['num_components'],
families_supervision=obj['families_supervision'])
ProjectionConfFactory.getFactory().registerClass('LdaConf', LdaConf)
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with SecuML. If not, see <http://www.gnu.org/licenses/>.
from SecuML.core.projection.algos.Itml import Itml
from SecuML.core.projection.conf import ProjectionConfFactory
from .SemiSupervisedProjectionConf import SemiSupervisedProjectionConf
class ItmlConf(SemiSupervisedProjectionConf):
def __init__(self, logger, families_supervision=None):
SemiSupervisedProjectionConf.__init__(
self, logger, Itml, families_supervision=families_supervision)
@staticmethod
def from_json(obj, logger):
conf = ItmlConf(logger,
families_supervision=obj['families_supervision'])
conf.num_components = obj['num_components']
return conf
@staticmethod
def fromArgs(args, logger):
return ItmlConf(logger, args.families_supervision)
ProjectionConfFactory.getFactory().registerClass('ItmlConf', ItmlConf)
def proj_conf_from_args(args, logger):
if not hasattr(args, 'projection_algo') or args.projection_algo is None:
return None
proj_factory = ProjectionConfFactory.getFactory()
proj_conf = proj_factory.fromArgs(args.projection_algo, args, logger)
return proj_conf