Lines Matching refs:x_no
52 x_no = np.random.normal(size=(n, len(no_par)))
53 x_no[:, 0] = 1
54 x_no[:, 1] = time_z
55 no = np.exp(np.dot(x_no, no_par))
57 x_no = None
76 return y, x_mean, x_sc, x_sm, x_no, time, groups
81 y, x_mean, x_sc, x_sm, x_no, time, groups = setup1(n, get_model, noise)
83 preg = ProcessMLE(y, x_mean, x_sc, x_sm, x_no, time, groups)
124 y, x_mean, x_sc, x_sm, x_no, time, groups = setup1(n, get_model, noise)
141 df["xno1"] = x_no[:, 0]
142 df["xno2"] = x_no[:, 1]
207 y, x_mean, x_sc, x_sm, x_no, time, groups = setup1(1000, model1, noise)
209 preg = ProcessMLE(y, x_mean, x_sc, x_sm, x_no, time, groups)
216 q += x_no.shape[1]