class_docstr: State pattern attached to SmartExplainer. This is the base class that only handles matrices
  of local contributions. The multi-class case is tackled in SmartMultiState.
class_docstr_tok: ["State","pattern","attached","to","SmartExplainer",".","This","is","the","base","class","that","only","handles","matrices","of","local","contributions",".","The","multi-class","case","is","tackled","in","SmartMultiState","."]
docstr: Returns Boolean dataframe with True/False depending if the
  feature is present or not in the list of
  feature to hide.
  
  Parameters
  ----------
  var_dict: pd.DataFrame
      Dataframe with features indexes ordered
      by contribution.
  feature_list: List
      List of index, feature to hide.
  
  Returns
  -------
  pd.DataFrame
      Boolean dataframe depend on hidden features.
docstr_tok: ["Returns","Boolean","dataframe","with","True\/False","depending","if","the","feature","is","present","or","not","in","the","list","of","feature","to","hide",".","Parameters","--","--","--","--","--","var_dict",":","pd.DataFrame","Dataframe","with","features","indexes","ordered","by","contribution",".","feature_list",":","List","List","of","index",",","feature","to","hide",".","Returns","--","--","--","-","pd.DataFrame","Boolean","dataframe","depend","on","hidden","features","."]
code: def hide_contributions(self, var_dict, features_list):
      """
      Returns Boolean dataframe with True/False depending if the
      feature is present or not in the list of
      feature to hide.
  
      Parameters
      ----------
      var_dict: pd.DataFrame
          Dataframe with features indexes ordered
          by contribution.
      feature_list: List
          List of index, feature to hide.
  
      Returns
      -------
      pd.DataFrame
          Boolean dataframe depend on hidden features.
      """
      return hide_contributions(var_dict, features_list)
  
imports: import numpy
  import pandas
  from shapash.decomposition.contributions import inverse_transform_contributions
  from shapash.decomposition.contributions import rank_contributions, assign_contributions
  from shapash.manipulation.filters import hide_contributions
  from shapash.manipulation.filters import cap_contributions
  from shapash.manipulation.filters import sign_contributions
  from shapash.manipulation.filters import cutoff_contributions
  from shapash.manipulation.filters import combine_masks
  from shapash.manipulation.mask import compute_masked_contributions
  from shapash.manipulation.mask import init_mask
  from shapash.manipulation.summarize import summarize, compute_features_import, group_contributions
label_desc: Use image node_id 6 for calling the SmartState obj's underlying member method code with example usage: obj.hide_contributions(var_dict, features_list) and returns: hide_contributions