wip

fashion_mnist_label_drift.py

@@ -160,13 +160,20 @@ 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.
-        print("CACA = ", filepath)
-        os.rename(filepath, "/Users/kiko/test.foo")
-
-        with open(filepath) as file:
-            df = pd.read_hdf(file)
-            print(len(df))
-            print(df.columns)
+        with open(filepath, 'rb') as pkl_file:
+            data = pickle.load(pkl_file, encoding='bytes')
+            pred_ts=data['prediction_ts']
+            images=data['image']
+            labels=data['label']
+            for idx, _ in enumerate(images):
+                if id_==0:
+                    continue
+                yield id_, {
+                    "prediction_ts":pred_ts[idx],
+                    "label":labels[idx],
+                    "image":images[idx]
+                }
+#        with open(filepath) as csv_file:
 #            csv_reader = csv.reader(csv_file, delimiter='\t')
 #            for id_, row in enumerate(csv_reader):
 #                prediction_ts,language,text,ner_tags = row