import logging
import attr
from so_magic.utils import Subject
from .self_organising_map import SomTrainer, SelfOrganizingMap, NoFeatureVectorsError
logger = logging.getLogger(__name__)
[docs]@attr.s
class SelfOrganizingMapFactory:
trainer = attr.ib(init=True, default=attr.Factory(SomTrainer.from_callable))
subject = attr.ib(init=True, default=attr.Factory(lambda: Subject([])))
[docs] def create(self, dataset, nb_cols, nb_rows, **kwargs):
try:
# run a backend algorithm and get a self-organising map representation object
somoclu_map = self.trainer.infer_map(nb_cols, nb_rows, dataset, **kwargs)
self.subject.state = somoclu_map
self.subject.notify()
return SelfOrganizingMap(somoclu_map, dataset.name)
except NoFeatureVectorsError as exception:
logger.info("%s Fire up an 'encode' command.", str(exception))
raise exception