def train(self, X, Y):

    self.X = X
    self.Y = Y

    self.J = []

    params0 = self.N.getParams()

    options = {'maxiter':1, 'disp': True}

    _res = optimize.minimize(self.costFunctionWrapper, params0, jac=True,
                             method='BFGS', args = (X, Y),
                             options=options, callback = self.callbackF)
    self.N.setParams(_res.x)
    self.optimizationResults = _res