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TEST7104e3709csklearn.naive_bayes.GaussianNB

TEST7104e3709csklearn.naive_bayes.GaussianNB

Visibility: public Uploaded 18-10-2024 by Continuous Integration sklearn==1.5.2 numpy>=1.19.5 scipy>=1.6.0 joblib>=1.2.0 threadpoolctl>=3.1.0 0 runs
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  • openml-python python scikit-learn sklearn sklearn_1.5.2
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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 .. versionadded:: 0.20default: 1e-09

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