def __init__(self, cdbfile=None):
Classifier.__init__(self)
if cdbfile is not None:
self.wordinfo = cdb.Cdb(cdbfile)
def __init__(self):
Classifier.__init__(self)
# Set state from DB stored value.
state = self.get_state()
self.nspam = state.spam_count
self.nham = state.ham_count
def __init__(self, *args, **kwargs):
Classifier.__init__(self)
self.redis = self.redis_class(**kwargs)
# Set state from Redis stored value.
state = self.get_state()
self.nspam = state.spam_count
self.nham = state.ham_count
def __init__(self, Model):
"""
Note that this class is initialized with a 'Django Model' rather than
a db name. It expects the Model itself, not an instance. Therefore,
one needs to do:
from sbayes.models import Bayes
db = DjangoClassifier(Bayes)
"""
Classifier.__init__(self)
self.statekey = 'save state'
self.Model = Model
self.load()
def __init__(self, cdbfile=None):
Classifier.__init__(self)
if cdbfile is not None:
self.wordinfo = cdb.Cdb(cdbfile)
