improving data preprocessing script

use-cases/model-fine-tuning-pipeline/data-processing/ray/tests/test_datacleaner.py

@@ -1,6 +1,6 @@
 import unittest
 import pandas as pd
-from datapreprocessing.datacleaner import DataPreprocessor
+from ..src.datapreprocessing.datacleaner import DataPreprocessor
 
 class TestDataCleaner(unittest.TestCase):
 

use-cases/model-fine-tuning-pipeline/data-processing/ray/tests/test_dataloader.py

@@ -1,7 +1,7 @@
 import unittest
 import pandas as pd
 from unittest.mock import patch, Mock
-from datapreprocessing.dataloader import DataLoader
+from ..src.datapreprocessing.dataloader import DataLoader
 
 class TestDataLoader(unittest.TestCase):
 

use-cases/model-fine-tuning-pipeline/data-processing/ray/tests/test_dataprep.py

@@ -1,6 +1,6 @@
 import unittest
 import pandas as pd
-from datapreprocessing.dataprep import DataPrep
+from ..src.datapreprocessing.dataprep import DataPrep
 
 class TestDataPrep(unittest.TestCase):
 

use-cases/model-fine-tuning-pipeline/data-processing/ray/tests/test_ray_utils.py

@@ -1,7 +1,7 @@
 import unittest
 import pandas as pd
 from unittest.mock import patch, Mock
-from datapreprocessing.ray_utils import RayUtils
+from ..src.datapreprocessing.ray_utils import RayUtils
 
 class TestRayUtils(unittest.TestCase):