class SomModel(Model):
def __init__(self,input_length):
from minisom import MiniSom
self.som = MiniSom(10, 10, input_length,sigma=0.3,learning_rate=0.1,normalize=True)
def run(self,inp):
self.som.trian_single_instance(inp.flatten())
