DOC Adds GaussianMixture and BayesianGaussianMixture examples#15193
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thomasjpfan merged 7 commits intoscikit-learn:masterfrom May 22, 2020
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DOC Adds GaussianMixture and BayesianGaussianMixture examples#15193thomasjpfan merged 7 commits intoscikit-learn:masterfrom
thomasjpfan merged 7 commits intoscikit-learn:masterfrom
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thomasjpfan
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Oct 12, 2019
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Thank you @darioka for the PR!
sklearn/mixture/bayesian_mixture.py
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| >>> BGM.means_ | ||
| array([[5.50000048, 2. ], | ||
| [5.49999668, 2. ]]) | ||
| >>> BGM.predict([[0, 0], [12, 3]]) |
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May you pick another point to give a different result than zero?
added 2 commits
October 16, 2019 20:49
…into gaussian_mixture_example
thomasjpfan
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Oct 16, 2019
sklearn/mixture/bayesian_mixture.py
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| >>> X = np.array([[1, 2], [1, 4], [1, 0], [4, 2], [12, 4], [10, 7]]) | ||
| >>> BGM = BayesianGaussianMixture(n_components=2, random_state=42).fit(X) | ||
| >>> BGM.means_ | ||
| array([[2.4975536 , 2.29225365], |
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Lets use ... just in case there is a floating point error
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| array([[2.4975536 , 2.29225365], | |
| array([[2.49... , 2.29...], |
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|
Hi, I did not understand why some checks failed. Could you help me on that? |
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Hi @cmarmo, done! Thank you for your support! |
thomasjpfan
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May 22, 2020
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
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LGTM Thank you @darioka !
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Reference Issues/PRs
#3846
What does this implement/fix? Explain your changes.
Add examples to
mixture.GaussianMixtureandmixture.BayesianGaussianMixtureAny other comments?