class_docstr: Loads a scikit-learn model and tokenizer (tokenizer implements
  `transform` and model implements `predict_proba`).
  
  May need to be extended and modified for different types of
  tokenizers.
class_docstr_tok: ["Loads","a","scikit-learn","model","and","tokenizer","(","tokenizer","implements","`","transform","`","and","model","implements","`","predict_proba","`",")",".","May","need","to","be","extended","and","modified","for","different","types","of","tokenizers","."]
code: def get_grad(self, text_input):
      raise NotImplementedError()
  
imports: import pandas
  from .model_wrapper import ModelWrapper
label_desc: Use image node_id 3 for calling the SklearnModelWrapper obj's underlying member method code with example usage: obj.get_grad(text_input) without return types