def __init__(self, gamma = 1, teta = 1, sigma = 0, isDraw = False, oper = 'min', isNorm = False, norm_range = [0, 1], V = np.array([]), W = np.array([]), classId = np.array([])):
BaseGFMMClassifier.__init__(self, gamma, teta, isDraw, oper, isNorm, norm_range)
self.V = V
self.W = W
self.classId = classId
self.sigma = sigma
def __init__(self,
gamma=1,
teta=1,
isDraw=False,
oper='min',
isNorm=True,
norm_range=[0, 1]):
BaseGFMMClassifier.__init__(self, gamma, teta, isDraw, oper, isNorm,
norm_range)
self.cardin = np.array([])
self.clusters = np.empty(None, dtype=object)
def __init__(self,
gamma=1,
teta=1,
tMin=1,
isDraw=False,
oper='min',
isNorm=False,
norm_range=[0, 1],
V=np.array([], dtype=np.float64),
W=np.array([], dtype=np.float64),
classId=np.array([], dtype=np.int16)):
BaseGFMMClassifier.__init__(self, gamma, teta, isDraw, oper, isNorm,
norm_range)
self.tMin = tMin
self.V = V
self.W = W
self.classId = classId
self.misclass = 1
self.cardin = list()