wip

fashion_mnist_label_drift.py

@@ -16,7 +16,7 @@
 """IMDb movie revies dataset mixed with Trip Advisor Hotel Reviews to simulate drift accross time."""
 
 
-import pickel
+import pickle
 import os
 import pandas as pd
 import datasets
@@ -129,9 +129,8 @@ class FashionMNISTLabelDrift(datasets.GeneratorBasedBuilder):
         # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
         # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
-        print("EXTRACTED PATHS=",extracted_paths)
         extracted_paths = dl_manager.download_and_extract(_URLS)
-        print(extracted_paths)
+        print("EXTRACTED PATHS=",extracted_paths)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split("training"),