anon-iclr-submission/benchname-bug-localization huggingface dataset:
Repository: augerai/a2ml
Issue: predict doesn't return file name where predictions are stored

**Running:**

from a2ml import A2ML, Context

ctx = Context()
a2ml = A2ML(ctx, 'auger, azure')
ret = a2ml.deploy(model_id='A7663CC9C3324B3',locally=True, provider='auger')
print('ret: ', ret)
ret = a2ml.predict(filename='../iris.csv',
  model_id='A7663CC9C3324B3', locally=True, provider='auger')
print('ret: ', ret)

**Output:**
ret:  {'auger': {'result': True, 'data': {'model_id': 'A7663CC9C3324B3'}}}
ret:  {'auger': {'result': True, 'data': {'predicted': '/Users/vtrv101/Projects/dplrn/test/predictions/'}}}

**predicted doesn't contain file name** 

**Environment Details:**
 - OS: macOS
 - A2ML Version: 0.5.0.dev0
 - Python Version: 3.7.6




Changed files:
a2ml/api/auger/impl/mparts/predict.py

diff --git a/a2ml/api/auger/impl/mparts/predict.py b/a2ml/api/auger/impl/mparts/predict.py
index c9cbe28..202c27e 100644
--- a/a2ml/api/auger/impl/mparts/predict.py
+++ b/a2ml/api/auger/impl/mparts/predict.py
@@ -69,6 +69,7 @@ class ModelPredict():
             if not model_existed:
                 shutil.rmtree(model_path, ignore_errors=True)
 
+        print(predicted)        
         if not filename_arg:
             ds_result = DataFrame.create_dataframe(predicted)
 
@@ -100,7 +101,7 @@ class ModelPredict():
         model_path = os.path.abspath(model_path)
 
         call_args = "--path_to_predict=./model_data/%s %s" % \\
-            (predict_file, "--threshold=%s" % str(threshold) if threshold else '')
+            (predict_file, "--threshold=%s --verbose=True" % str(threshold) if threshold else '')
 
         command = (r"docker run "
             "-v {model_path}:/var/src/auger-ml-worker/exported_model "