Hi:
I am trying to generate data form a simple linear regression model.
The training data
T = {(x1, y1), . . . , (xn), yn}, want to sample x uniformly from the
range [0,1], find uncorrupted response y = x^2, and generate random
noise "e" from normal distribution N(0, 1). Any idea how to do in
simple steps?
Thanks in advance.
deb
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