DMM.model_gm

DMM.model_gm#

module for Gaussian mixture model

class ModelGM(w=1, x=0, std=1)#

Bases: object

class for 1-d Gaussian mixture model weights: ndarray of weights centers: ndarray of means sigma: standard deviations

Initialize a GM model w: arrary of weights x: arrary of means std: scalar or array of standard deviations. If scalar, components share the same std.

mean_rv()#

discrete rv for the means

moments_gm(degree)#

moments of GM model

Args: degree: int highest degree k

Returns: moments of Gaussian mixture model from degree 1 to k

std_rv()#

discrete rv for the sigmas

sample_gm(model, num)#

n random samples from Gaussian mixture model

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