def __init__(self, G): basePredictor.__init__(self, G) return
def __init__(self, G): basePredictor.__init__(self, G) self.numEigenSpaces = 1 return
def __init__(self, G, dim=1, esolver='tracemin', directed=False, **kwargs): basePredictor.__init__(self, G, directed) self.dim = dim self._compute_embedding(esolver, **kwargs) return
def __init__(self, G, steps=10): basePredictor.__init__(self, G) self.steps = steps return