def __init__(self, k=40, min_k=1, sim_options=None, **kwargs):
if sim_options is None:
sim_options = {}
KNNWithMeans.__init__(self, sim_options=sim_options, **kwargs)
self.k = k
self.min_k = min_k
self.overlap = None
def __init__(self, k=40, min_k=1, sim_options=None, **kwargs):
if sim_options is None:
sim_options = {}
KNNWithMeans.__init__(self, sim_options=sim_options, **kwargs)
self.k = k
self.min_k = min_k
self.overlap = None
if ('corate_threshold' not in sim_options):
self.beta = 50
else:
self.beta = sim_options['corate_threshold']
