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PGLD
Created on February 1, 2021
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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]])
SK GMM
PGLD
Created on February 1, 2021
Start designing with a free template
Discover more than 1500 professional designs like these:
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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]])