Upload hypo.py

hypo.py

@@ -58,7 +58,8 @@ features_types_per_config = {
 		"FTI": datasets.Value("float64"),
 		"TBG_measured": datasets.Value("string"),
 		"referral_source": datasets.Value("string"),
-		"class": datasets.ClassLabel(num_classes=4, names=("negative", "compensated hypothyroid", "secondary hypothyroid", "primary hypothyroid"))
+		"class": datasets.ClassLabel(num_classes=4,
+									 names=("negative", "compensated hypothyroid", "secondary hypothyroid", "primary hypothyroid"))
 	},
 	"has_hypo": {
 		"age": datasets.Value("int8"),
@@ -154,8 +155,10 @@ class Hypo(datasets.GeneratorBasedBuilder):
 		
 		if self.config.name == "has_hypo":
 			data["class"] = data["class"].apply(lambda x: 0 if x == 0 else 1)
+			print("has hypo\n\n\n")
 		
-		print([f for f in data.columns if "?" in data[f].unique()])
+		print("classes")
+		print(data["class"].unique())
 
 		return data[list(features_types_per_config[self.config.name].keys())]