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 __init__(self, model, tokenizer):
      self.model = model
      self.tokenizer = tokenizer
  
imports: import pandas
  from .model_wrapper import ModelWrapper
label_desc: Use image node_id 1 to create a new SklearnModelWrapper object from inherited base classes: ModelWrapper with example: obj = SklearnModelWrapper(model, tokenizer)