parameters: (self, neg_click_prob=0.0, pos_click_prob=1.0, relevance_grading_num=1, eta=1.0)
docstring: Initialize a new ClickModel instance.
  
          Parameters
          ----------
          neg_click_prob : float, optional
              [description], by default 0.0
          pos_click_prob : float, optional
              [description], by default 1.0
          relevance_grading_num : int, optional
              [description], by default 1
          eta : int type, optional
              [description], by default 1.0
docstring_summary: Initialize a new ClickModel instance.
docstring_tokens: Initialize a new ClickModel instance .
function: def __init__(self, neg_click_prob=0.0, pos_click_prob=1.0, relevance_grading_num=1, eta=1.0):
          """Initialize a new ClickModel instance.
  
          Parameters
          ----------
          neg_click_prob : float, optional
              [description], by default 0.0
          pos_click_prob : float, optional
              [description], by default 1.0
          relevance_grading_num : int, optional
              [description], by default 1
          eta : int type, optional
              [description], by default 1.0
          """
          if self.model_name != 'cascade_model':
              self.setExamProb(eta)
          self.setClickProb(neg_click_prob, pos_click_prob,
                            relevance_grading_num)
function_tokens: def __init__ ( self , neg_click_prob = 0.0 , pos_click_prob = 1.0 , relevance_grading_num = 1 , eta = 1.0 ) : if self . model_name != 'cascade_model' : self . setExamProb ( eta ) self . setClickProb ( neg_click_prob , pos_click_prob , relevance_grading_num )