XOR data

import numpy as np

np.random.seed(1)

x=np.random.uniform(low=-1, high=1, size=(200, 2))

y=np.ones(len(x))

y[x[:, 0]*x[:, 1]<0]=0

x_train=x[:100, :]

y_train=y[:100]

x_valid=x[100:, :]

y_valid=y[100:]