def __init__(self,
n_components=1,
covariance_type='full',
advanced_covariance_type=None,
tol=1e-3,
reg_covar=1e-6,
max_iter=100,
n_init=1,
init_params='kmeans',
weights_init=None,
means_init=None,
precisions_init=None,
random_state=None,
warm_start=False,
verbose=0,
verbose_interval=10):
if advanced_covariance_type is None:
advanced_covariance_type = covariance_type
else:
covariance_type = _feature_mapping[advanced_covariance_type].shape
_BaseGaussianMixture.__init__(self,
n_components=n_components,
covariance_type=covariance_type,
tol=tol,
reg_covar=reg_covar,
max_iter=max_iter,
n_init=n_init,
init_params=init_params,
weights_init=weights_init,
means_init=means_init,
precisions_init=precisions_init,
random_state=random_state,
warm_start=warm_start,
verbose=verbose,
verbose_interval=verbose_interval)
self.advanced_covariance_type = advanced_covariance_type
