validating fashion_mnist train - kamangir/bolt#692

image_classifier/__init__.py

@@ -1,5 +1,5 @@
 name = "image_classifier"
 
-version = "1.1.69"
+version = "1.1.71"
 
 description = "fashion-mnist + hugging-face + awesome-bash-cli"

image_classifier/classes.py

@@ -93,7 +93,9 @@ class Image_Classifier(object):
         if not output_path:
             return True
 
-        if not file.save(f"{output_path}/predictions.pyndarray", predictions):
+        if not file.save(
+            f"{output_path}/image_classifier/predictions.pyndarray", predictions
+        ):
             return False
 
         if test_labels is not None:

image_classifier/funcs.py

@@ -23,7 +23,9 @@ def eval(input_path, output_path):
                 ",".join([str(value) for value in ground_truth[:10]] + ["..."]),
             )
         )
-        success, predictions = file.load(f"{input_path}/predictions.pyndarray")
+        success, predictions = file.load(
+            f"{input_path}/image_classifier/predictions.pyndarray"
+        )
 
     if success:
         predictions = np.argmax(predictions, axis=1).astype(np.uint8)