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examples/error_mitigation/tools/validation.py

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# Estimate variances from noise
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# Perform regression with and without variance weighting
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labels = ['exp_v1', 'lin', 'exp_v0', 'exp_re']
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labels = ['exp_v1', 'lin']
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ests = [estimates, estimates_ols,]
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for est, lab in zip(ests, labels):
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print(f"{lab}: {1/num_ys*np.sum(np.square(np.array(est)-true_y0))}")

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