class_docstr: Unit test Contributions Class
  TODO: Docstring
  Parameters
  ----------
  unittest : [type]
      [description]
  Returns
  -------
  [type]
      [description]
class_docstr_tok: ["Unit","test","Contributions","Class","TODO",":","Docstring","Parameters","--","--","--","--","--","unittest",":","[","type","]","[","description","]","Returns","--","--","--","-","[","type","]","[","description","]"]
docstr: Method to get predictions
  Parameters
  ----------
  model : [type]
      [description]
  Returns
  -------
  [type]
      [description]
docstr_tok: ["Method","to","get","predictions","Parameters","--","--","--","--","--","model",":","[","type","]","[","description","]","Returns","--","--","--","-","[","type","]","[","description","]"]
code: def get_predictions(self, model, **args):
      """
      Method to get predictions
      Parameters
      ----------
      model : [type]
          [description]
      Returns
      -------
      [type]
          [description]
      """
      model.fit(self.x_train, self.y_train)
      if args:
          return model.predict(self.x_test, **args)
      else:
          return model.predict(self.x_test)
  
file_path: shapash/tests/integration_tests/test_contributions_multiclass.py
imports: import unittest
  import shap
  from sklearn.datasets import load_iris
  from sklearn.model_selection import train_test_split
  from sklearn.ensemble import RandomForestClassifier
  import numpy
  import pandas
  from shapash.decomposition.contributions import rank_contributions
label_desc: Use image node_id 4 for calling the TestContributions obj's underlying member method code with example usage: obj.get_predictions(model) and returns: model, model