class_docstr: This is the basic one dimensional Gaussian-Gamma Mixture estimation class
  Note that it can work with positive or negative values,
  as long as there is at least one positive value.
  NB : The gamma distribution is defined only on positive values.
  
  5 scalar members
  - mean: gaussian mean
  - var: gaussian variance (non-negative)
  - shape: gamma shape (non-negative)
  - scale: gamma scale (non-negative)
  - mixt: mixture parameter (non-negative, weight of the gamma)
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code: def __init__(self, shape=1, scale=1, mean=0, var=1, mixt=0.5):
      self.shape = shape
      self.scale = scale
      self.mean = mean
      self.var = var
      self.mixt = mixt
  
imports: import numpy
  import scipy.special
  import scipy.stats
label_desc: Use image node_id 1 to create a new GGM object  with example: obj = GGM(shape, scale, mean, var, mixt)