models_learners.py 文件源码

def update(self, x):
        """Single step learning update"""
        # print x.shape
        x = x.reshape((self.ndims, 1))
        y = np.dot(self.w.T, x)
        # GHA rule in matrix form
        d_w = self.anneal(self.cnt) * self.eta * (np.dot(x, y.T) - np.dot(self.w, np.tril(np.dot(y, y.T))))
        self.w += d_w
        self.cnt += 1
        return y