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Gaussian Mixture Model_Generalizing E–M example Tip (scikit-learn version issue) #164

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jaehyunup opened this issue Jan 14, 2019 · 1 comment

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@jaehyunup
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@jaehyunup jaehyunup commented Jan 14, 2019

If you are using the latest version of scikit

From Scikit-Learn 0.18.2 version changed the class name GMM -> GaussianMixture

and your E-M example( in[7] example code ) should be changed code like this

from sklearn.mixture import GMM
gmm = GMM(n_components=4).fit(X)
labels = gmm.predict(X)
plt.scatter(X[:, 0], X[:, 1], c=labels, s=40, cmap='viridis');

↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓
↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓

from sklearn.mixture import GaussianMixture
gmm = GaussianMixture(n_components=4).fit(X)
labels = gmm.predict(X)
plt.scatter(X[:, 0], X[:, 1], c=labels, s=40, cmap='viridis');

@Hongbo-Miao
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@Hongbo-Miao Hongbo-Miao commented Feb 21, 2019

Duplicate with #71

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