iq_readout.two_state_classifiers.MaxFidLinearClassifier.predict

two_state_classifiers.MaxFidLinearClassifier.predict(z, p_0=0.5)

Classifies the given data to 0 or 1 using a threshold: - 0 if z_proj <= threshold - 1 otherwise

Parameters:

z: np.array(…, 2)

Points to classify

p_0

Probability to measure outcome 0. By default 1/2.

Returns:

prediction: np.array(…)

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