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SK GMM

PGLD

Created on February 1, 2021

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Transcript

Import class

from sklearn.mixture import GaussianMixture

Instantiate a model with hyperparameter

gm = GaussianMixture(n_components=2, random_state=0)

gm.fit(X)

Fit a model

Predict with a model

gm.predict([[0, 0], [12, 3]])