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Add Doc for GMM Example #30841

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Feb 18, 2025
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Add Doc for GMM Example #30841

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6 changes: 6 additions & 0 deletions sklearn/mixture/_gaussian_mixture.py
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Expand Up @@ -537,6 +537,9 @@ class GaussianMixture(BaseMixture):
- 'diag': each component has its own diagonal covariance matrix.
- 'spherical': each component has its own single variance.

For an example of using `covariance_type`, refer to
:ref:`sphx_glr_auto_examples_mixture_plot_gmm_selection.py`.

tol : float, default=1e-3
The convergence threshold. EM iterations will stop when the
lower bound average gain is below this threshold.
Expand Down Expand Up @@ -885,6 +888,9 @@ def bic(self, X):
You can refer to this :ref:`mathematical section <aic_bic>` for more
details regarding the formulation of the BIC used.

For an example of GMM selection using `bic` information criterion,
refer to :ref:`sphx_glr_auto_examples_mixture_plot_gmm_selection.py`.

Parameters
----------
X : array of shape (n_samples, n_dimensions)
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