PopulationFitInfo

lumicks.pylake.population.detail.fit_info.PopulationFitInfo

class PopulationFitInfo(converged: bool, n_iter: int, bic: float, aic: float, log_likelihood: float)

Fitting information for a HiddenMarkovModel

Parameters:

• converged (bool) – Whether the model converged

• n_iter (int) – Number of iterations during the fit

• bic (float) –

  Bayesian Information Criterion (BIC) on fitted data

  \[BIC = k \ln{(n)} - 2 \ln{(L)}\]

  Where \(k\) is the number of fitted parameters, \(n\) is the number of observations (data points) and \(L\) is the maximized value of the likelihood function

• aic (float) –

  Akaike Information Criterion on fitted data

  \[AIC = 2 k - 2 \ln{(L)}\]

  Where \(k\) is the number of fitted parameters, \(n\) is the number of observations (data points) and \(L\) is the maximized value of the likelihood function

• log_likelihood (float) – log of the maximized value of the likelihood function of the fitted data