Upload hypo.py

hypo.py

@@ -90,10 +90,10 @@ features_types_per_config = {
 		"FTI": datasets.Value("float64"),
 		"TBG_measured": datasets.Value("string"),
 		"referral_source": datasets.Value("string"),
-		"class": datasets.ClassLabel(num_classes=4)
+		"class": datasets.ClassLabel(num_classes=2)
 	},
 }
-features_types_per_config["hypo"]["class"] = datasets.ClassLabel(num_classes=2)
+
 features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}