kernels.py 文件源码

def getScaledE(self, params, i, E):     
        if (self.prevHyp0Params is not None and np.abs(self.prevHyp0Params[i]-params[i]) < self.epsilon): return self.cache['E_scaled'][i]      
        if ('E_scaled' not in self.cache.keys()): self.cache['E_scaled'] = [None for j in xrange(len(self.kernels))]

        for j in xrange(len(self.kernels)):
            if (self.prevHyp0Params is not None and np.abs(self.prevHyp0Params[j]-params[j]) < self.epsilon): continue      
            E_scaled = E[:,:,j+1]*np.exp(2*params[j])
            self.cache['E_scaled'][j] = E_scaled

        self.prevHyp0Params = params.copy()     
        return self.cache['E_scaled'][i]