Upload breast.py

breast.py

@@ -122,7 +122,10 @@ class Breast(datasets.GeneratorBasedBuilder):
     def preprocess(self, data: pandas.DataFrame, config: str = "cancer") -> pandas.DataFrame:
         data.drop("id", axis="columns", inplace=True)
 
-        data = data[~data.bare_nuclei.isna()]
+        print(data.dtypes)
+        data = data[data.bare_nuclei != "?"]
+        for c in data.columns:
+            data.loc[:, c] = data[c].astype(int)
         
         data.columns = _BASE_FEATURE_NAMES
         data.loc[:, "is_cancer"] = data.is_cancer.apply(lambda x: 0 if x == 2 else 1)