iq_readout.two_state_classifiers.MaxFidLinearClassifier.fit

classmethod two_state_classifiers.MaxFidLinearClassifier.fit(shots_0, shots_1, n_bins=100)

Fits the given data to extract the best parameters for classification.

Parameters:

shots_0: np.array(N, 2)

IQ data when preparing state 0

shots_1: np.array(M, 2)

IQ data when preparing state 1

n_bins:

Number of bins for the 1d histograms

Returns:

MaxFidLinearClassifier containing the fitted parameters