iq_readout.three_state_classifiers.GaussMixClassifier

class GaussMixClassifier(params)

Read gmda.md and ThreeStateClassifier documentation

__init__(params)

Loads params to this ThreeStateClassifier.

Parameters:

params

The structure of the dictionary must be

{
    0: {"param1": float, ...},
    1: {"param1": float, ...},
    2: {"param1": float, ...},
}

Methods

fit(shots_0, shots_1, shots_2[, n_bins])	Fits the given data to extract the best parameters for classification.
from_yaml(filename)	Load ThreeStateClassifier from YAML file.
pdf_0(z)	Returns \(p(z|0)\).
pdf_1(z)	Returns \(p(z|1)\).
pdf_2(z)	Returns \(p(z|2)\).
predict(z[, p_0, p_1])	Classifies the given data to 0, 1 or 2 using maximum-likelihood classification, which is defined by
to_yaml(filename)	Stores parameters in a YAML file.

Attributes

params	Returns the parameters required to set up the classifier.
statistics	Returns dictionary with general statistical data: