kernels.py 文件源码

def __init__(self, X):
        Kernel.__init__(self)
        self.X_scaled = X/np.sqrt(X.shape[1])
        if (X.shape[1] >= X.shape[0] or True): self.K_sq = sq_dist(self.X_scaled.T)
        else: self.K_sq = None
        self.j = np.floor(X.shape[1]/2.0)+self.v+1
        self.pp = lambda r,j,v,f:  np.maximum(1-r, 0)**(j+v) * self.f(r,j)
        self.dpp = lambda r,j,v,f: np.maximum(1-r, 0)**(j+v-1) * r * ((j+v)*f(r,j) - np.maximum(1-r,0)*self.df(r,j))