iq_readout.three_state_classifiers.GaussMixClassifier.predict

three_state_classifiers.GaussMixClassifier.predict(z, p_0=0.3333333333333333, p_1=0.3333333333333333)

Classifies the given data to 0, 1 or 2 using maximum-likelihood classification, which is defined by

• 0 if \(p(0|z) > p(1|z), p(2|z)\)

• 1 if \(p(1|z) > p(0|z), p(2|z)\)

• 2 otherwise

Parameters:

znp.array(…, 2)

Points to classify.

p_0

Probability to measure outcome 0.

p_1

Probability to measure outcome 1.

By default :math:`p_0=p_1=1/3`, thus using :math:`p(i|z)` is equivalent

to using :math:`p(z|i)`.

Returns:

predictionnp.array(…)

Classification of the given data. It only contains 0s, 1s, and 2s.