wip

fashion_mnist_label_drift.py

@@ -159,11 +159,11 @@ class FashionMNISTLabelDrift(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, filepath):
         # This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
         # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
-        df = pd.read_hdf(filepath)
-        print(len(df))
-        print(df.columns)
 
-#        with open(filepath) as csv_file:
+        with open(filepath) as file:
+            df = pd.read_hdf(file)
+            print(len(df))
+            print(df.columns)
 #            csv_reader = csv.reader(csv_file, delimiter='\t')
 #            for id_, row in enumerate(csv_reader):
 #                prediction_ts,language,text,ner_tags = row