Example #1
0
 def g(w):
     W = w.reshape(W0.shape)
     y = [softmax.regression_ll_grad(x, y, W) for x, y in zip(X, P)]
     y = -sum(y)
     return y.ravel()
Example #2
0
 def g(w):
     W = w.reshape(W0.shape)
     y = [softmax.regression_ll_grad(x, y, W, c) for x, y, c in zip(X, P, C)]
     y = -sum(y)
     y[~M] = 0.0
     return y.ravel()