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Labo-Lacourse / stepmix

A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.
https://stepmix.readthedocs.io/en/latest/index.html
MIT License
60 stars 4 forks source link

Estimation logs #22

Closed sachaMorin closed 1 year ago

sachaMorin commented 1 year ago

Fitting large models with multiple restarts can take a while. Having some logs during the fitting procedure to inform the user has been requested.

sachaMorin commented 1 year ago

will add a progress_bar argument to the main StepMix object and the boostrap function.