alex.ml.gmm package¶
Submodules¶
alex.ml.gmm.gmm module¶
-
class
alex.ml.gmm.gmm.
GMM
(n_features=1, n_components=1, thresh=0.001, min_covar=0.001, n_iter=1)[source]¶ This is a GMM model of the input data. It is memory efficient so that it can process very large input array like objects.
The mixtures are incrementally added by splitting the heaviest component in two components and perturbation of the original mean.
Module contents¶
-
class
alex.ml.gmm.
GMM
(n_features=1, n_components=1, thresh=0.001, min_covar=0.001, n_iter=1)[source]¶ This is a GMM model of the input data. It is memory efficient so that it can process very large input array like objects.
The mixtures are incrementally added by splitting the heaviest component in two components and perturbation of the original mean.