class_docstr: Normal Distribution
  ----
  This class contains methods relating to the normal distribution for time series.
docstr: GAS Normal Update term using gradient only - native Python function
  
  Parameters
  ----------
  y : float
      datapoint for the time series
  
  mean : float
      location parameter for the Normal distribution
  
  scale : float
      scale parameter for the Normal distribution
  
  shape : float
      tail thickness parameter for the Normal distribution
  
  skewness : float
      skewness parameter for the Normal distribution
  
  Returns
  ----------
  - Score of the Normal family
docstr_tok: ["GAS","Normal","Update","term","using","gradient","only","-","native","Python","function","Parameters","--","--","--","--","--","y",":","float","datapoint","for","the","time","series","mean",":","float","location","parameter","for","the","Normal","distribution","scale",":","float","scale","parameter","for","the","Normal","distribution","shape",":","float","tail","thickness","parameter","for","the","Normal","distribution","skewness",":","float","skewness","parameter","for","the","Normal","distribution","Returns","--","--","--","--","--","-","Score","of","the","Normal","family"]
code: def first_order_score(y, mean, scale, shape, skewness):
      """GAS Normal Update term using gradient only - native Python function
  
      Parameters
      ----------
      y : float
          datapoint for the time series
  
      mean : float
          location parameter for the Normal distribution
  
      scale : float
          scale parameter for the Normal distribution
  
      shape : float
          tail thickness parameter for the Normal distribution
  
      skewness : float
          skewness parameter for the Normal distribution
  
      Returns
      ----------
      - Score of the Normal family
      """
      return (y - mean) / np.power(scale, 2)
  
imports: import numpy
  import scipy.stats
  import scipy.special
  from .family import Family
  from .flat import Flat
  from .gas_recursions import gas_recursion_normal_orderone, gas_recursion_normal_ordertwo
  from .gas_recursions import gasx_recursion_normal_orderone, gasx_recursion_normal_ordertwo
  from .gas_recursions import gas_llev_recursion_normal_orderone, gas_llev_recursion_normal_ordertwo
  from .gas_recursions import gas_llt_recursion_normal_orderone, gas_llt_recursion_normal_ordertwo
  from .gas_recursions import gas_reg_recursion_normal_orderone, gas_reg_recursion_normal_ordertwo
label_desc: Use image node_id 7 for calling the Normal obj's underlying member method code with example usage: obj.first_order_score(y, mean, scale, shape, skewness) and returns: unknown