class locat.wgmm.WGMM(pis: numpy.ndarray, mus: numpy.ndarray, sigmas: numpy.ndarray)[source]#

Bases: object

Attributes:
n_comp

Methods

mahalanobis_dist(coords)

Compute Mahalanobis distance from each point to each component's peak (vectorized).

loglikelihood_by_component

loglikelihood_truncated

pdf
loglikelihood_by_component(coords, weights)[source]#
loglikelihood_truncated(coords, weights, top_n_components=None)[source]#
mahalanobis_dist(coords)[source]#

Compute Mahalanobis distance from each point to each component’s peak (vectorized).

mus: ndarray[source]#
property n_comp: int[source]#
pdf(coords)[source]#
pis: ndarray[source]#
sigmas: ndarray[source]#