class_docstr: AutoInt is a novel CTR prediction model based on self-attention mechanism,
  which can automatically learn high-order feature interactions in an explicit fashion.
class_docstr_tok: ["AutoInt","is","a","novel","CTR","prediction","model","based","on","self-attention","mechanism",",","which","can","automatically","learn","high-order","feature","interactions","in","an","explicit","fashion","."]
code: def predict(self, interaction):
      return self.sigmoid(self.forward(interaction))
  
file_path: RecBole/recbole/model/context_aware_recommender/autoint.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.init import xavier_normal_, constant_
  from recbole.model.abstract_recommender import ContextRecommender
  from recbole.model.layers import MLPLayers
label_desc: Use image node_id 6 for calling the AutoInt obj's underlying member method code with example usage: obj.predict(interaction) and returns: self