Hands-On Meta Learning with Python

Generating data points

Now, we define a function called sample_points for generating our input (x,y) pairs. It takes the parameter k as input, which implies the number of (x,y) pairs we want to sample:

def sample_points(k):    x = np.random.rand(k,50)    y = np.random.choice([0, 1], size=k, p=[.5, .5]).reshape([-1,1])    return x,y