In the current TadGAN implementation, specifically score_anomaly
we always return the multiplication result of the critic score and reconstruction error
# Combine the two scores final_scores = np.multiply(critic_scores, res_scores)
Instead we should allow for the following:
np.multiply(critic_scores, res_scores)
lambda * critic_scores + (1 - lambda) * res_scores
res_scores
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