iq_readout.two_state_classifiers.DecayLinearClassifier.predict#
- two_state_classifiers.DecayLinearClassifier.predict(z, p_0=0.5)#
Classifies the given data to 0 or 1 using maximum-likelihood classification, which is defined by
0 if \(p(0|z) > p(1|z)\)
1 otherwise
- Parameters:
- znp.array(…, 2)
Points to classify.
- p_0
Probability to measure outcome 0. By default 1/2, which in this case \(p(0|z) > p(1|z)\) is equivalent to \(p(z|0) > p(z|0)\).
- Returns:
- predictionnp.array(…)
Classification of the given data. It only contains 0s and 1s.