def __init__(self, threshold=1.0, force=False, distance='cosine',
mode='loose', constraint=None, logger=None):
model = EmbeddingModel(distance=distance, mode=mode)
stopping_criterion = DistanceThreshold(threshold=threshold,
force=force)
super(EmbeddingClustering, self).__init__(
model,
stopping_criterion=stopping_criterion,
constraint=constraint,
logger=logger)
def __init__(self, threshold=1.0, force=False, logger=None):
model = _Model()
stopping_criterion = DistanceThreshold(threshold=threshold,
force=force)
constraint = DoNotCooccur()
super(FaceClustering,
self).__init__(model,
stopping_criterion=stopping_criterion,
constraint=constraint,
logger=logger)