Pushing the docs to dev/ for branch: main, commit cf237bfec06a7aa2bdfffa42f9093db3fdcb49fb

Author: sklearn-ci

dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip

@@ -4,7 +4,7 @@
 ================================
 
 This example shows that model selection can be performed with
-Gaussian Mixture Models using information-theoretic criteria (BIC).
+Gaussian Mixture Models using :ref:`information-theoretic criteria (BIC) <aic_bic>`.
 Model selection concerns both the covariance type
 and the number of components in the model.
 In that case, AIC also provides the right result (not shown to save time),

dev/_downloads/61adcadacdb5cfe445011b0b0d065d44/plot_gmm_selection.py

@@ -15,7 +15,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "\n# Gaussian Mixture Model Selection\n\nThis example shows that model selection can be performed with\nGaussian Mixture Models using information-theoretic criteria (BIC).\nModel selection concerns both the covariance type\nand the number of components in the model.\nIn that case, AIC also provides the right result (not shown to save time),\nbut BIC is better suited if the problem is to identify the right model.\nUnlike Bayesian procedures, such inferences are prior-free.\n\nIn that case, the model with 2 components and full covariance\n(which corresponds to the true generative model) is selected.\n"
+        "\n# Gaussian Mixture Model Selection\n\nThis example shows that model selection can be performed with\nGaussian Mixture Models using `information-theoretic criteria (BIC) <aic_bic>`.\nModel selection concerns both the covariance type\nand the number of components in the model.\nIn that case, AIC also provides the right result (not shown to save time),\nbut BIC is better suited if the problem is to identify the right model.\nUnlike Bayesian procedures, such inferences are prior-free.\n\nIn that case, the model with 2 components and full covariance\n(which corresponds to the true generative model) is selected.\n"
       ]
     },
     {