Redundant calculation of Aj

[Ziqi-Li]

https://github.com/pysal/gwr_private/blob/8665c8ce2459c04ba5cd9d923ac1064ba9d81729/gwr/search.py#L220

for j in range(n):
    Wj = np.diag(optim_model.W[j])
    XtW = np.dot(temp_X.T, Wj)
    XtWX_inv = np.linalg.inv(np.dot(XtW, temp_X))
    P = np.dot(XtWX_inv, XtW)
    Aj[j,:] = temp_X[j,:] * P

This loop here basically calculates hat matrix of optim_model = gwr_func(temp_y, temp_X, bw) row by row, we could just let Aj = optim_model.S to avoid the for loop and get a big speed-up.
test using GA data np.allclose(Aj, optim_model.S)yields all True.

@TaylorOshan

[TaylorOshan]

Aj is no longer redundant.