Upload p53.py

p53.py

@@ -82,10 +82,12 @@ class P53(datasets.GeneratorBasedBuilder):
 
 	def preprocess(self, data: pandas.DataFrame) -> pandas.DataFrame:
 		for feature in _ENCODING_DICS:
+			print(f"encoding {feature}\n\n\n")
 			encoding_function = partial(self.encode, feature)
 			data.loc[:, feature] = data[feature].apply(encoding_function)
 		
 		for feature in data.columns:
+			print(f"on feature {feature}\n\n\n")
 			if feature == "class":
 				break
 			data[data[feature] == "?", feature] = data[feature].mean()