code: def is_classification(self):
      count = self.df[self.y_variable].nunique()
  
      if count >= 10:
          return False
      else:
          return True
  
file_path: explainx/lib/protodash.py
imports: from imports import *
  from encode_decode_cat_col import *
  from rescale_numeric_feature import *
  from PDASH import ProtodashExplainer
  from PDASH_utils import *
label_desc: Use image node_id 6 for calling the protodash obj's underlying member method code with example usage: obj.is_classification() and returns: False, True