class_docstr: Linear Interpretable Surrogate Model Wrapper.
class_docstr_tok: ["Linear","Interpretable","Surrogate","Model","Wrapper","."]
code: def predict(self, *args, **kwargs):
      return self.model.predict(*args, **kwargs)
  
file_path: AIX360/aix360/algorithms/tslime/surrogate.py
imports: from abc import abstractmethod
  import numpy
  from sklearn.linear_model import LinearRegression
label_desc: Use image node_id 3 for calling the LinearSurrogateModel obj's underlying member method code with example usage: obj.predict() and returns: self