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sklearn.naive_bayes.GaussianNB

sklearn.naive_bayes.GaussianNB

Visibility: public Uploaded 13-12-2019 by Evan Peterson sklearn==0.22 numpy>=1.6.1 scipy>=0.9 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.22
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Gaussian Naive Bayes (GaussianNB) Can perform online updates to model parameters via :meth:`partial_fit`. For details on algorithm used to update feature means and variance online, see Stanford CS tech report STAN-CS-79-773 by Chan, Golub, and LeVeque: http://i.stanford.edu/pub/cstr/reports/cs/tr/79/773/CS-TR-79-773.pdf

Parameters

priorsPrior probabilities of the classes. If specified the priors are not adjusted according to the datadefault: null
var_smoothingPortion of the largest variance of all features that is added to variances for calculation stability.default: 1e-09

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