8000 DOC Added hyperlink to AIC-BIC User Guide entry (#23146) · thomasjpfan/scikit-learn@cf237bf · GitHub
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DOC Added hyperlink to AIC-BIC User Guide entry (scikit-learn#23146)
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
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examples/mixture/plot_gmm_selection.py

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This example shows that model selection can be performed with
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Gaussian Mixture Models using information-theoretic criteria (BIC).
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Gaussian Mixture Models using :ref:`information-theoretic criteria (BIC) <aic_bic>`.
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Model selection concerns both the covariance type
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and the number of components in the model.
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In that case, AIC also provides the right result (not shown to save time),

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