class_docstr: Unit test Smart Predictor class
class_docstr_tok: ["Unit","test","Smart","Predictor","class"]
docstr: predict method
docstr_tok: ["predict","method"]
code: def predict(self, arg1, arg2):
      """
      predict method
      """
      matrx = np.array([12, 3, 7])
      return matrx
  
imports: import unittest
  from shapash.explainer.smart_predictor import SmartPredictor
  from shapash import SmartExplainer
  from shapash.explainer.smart_state import SmartState
  from shapash.explainer.multi_decorator import MultiDecorator
  from shapash.backend import ShapBackend
  import os
  from os import path
  from pathlib import Path
  import pandas
  import numpy
  import catboost
  from catboost import Pool
  import category_encoders
  from unittest.mock import patch
  import types
  from sklearn.compose import ColumnTransformer
  import sklearn.preprocessing
  import shap
label_desc: Use image node_id 3 for calling the TestSmartPredictor obj's underlying member method code with example usage: obj.predict(arg1, arg2) and returns: matrx