bay_gauss
=
BayesianGaussianMixture
(
n_components
=
8
,
covariance_type
=
'diag'
,
weight_concentration_prior_type
=
'dirichlet_process'
,
weight_concentration_prior
=
0.1
,
init_params
=
'kmeans'
,
random_state
=
12
)
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