fixed bug with dvc exp show

modules/ml-pipeline/src/pipeline/training/.dvc/.gitignore

@@ -0,0 +1,3 @@
+/config.local
+/tmp
+/cache

modules/ml-pipeline/src/pipeline/training/.dvcignore

@@ -0,0 +1,3 @@
+# Add patterns of files dvc should ignore, which could improve
+# the performance. Learn more at
+# https://dvc.org/doc/user-guide/dvcignore

modules/ml-pipeline/src/pipeline/training/build_model.py

@@ -104,4 +104,4 @@ if __name__ == "__main__":
 
     logger.info("-------------------------------")
     logger.info(f"--- {__file__} - Complete! ---")
-    logger.info("-------------------------===---")
+    logger.info("-------------------------------")

modules/ml-pipeline/src/pipeline/training/dvc.lock

@@ -15,8 +15,8 @@ stages:
     outs:
     - path: data/prepared_data/
       hash: md5
-      md5: 8268b5117320d2589594a0eda859c5e5.dir
-      size: 36337
+      md5: 9afb06007a6da3cef1619e937e9c413e.dir
+      size: 36344
       nfiles: 2
   build_model:
     cmd: python build_model.py
@@ -27,8 +27,8 @@ stages:
       size: 3576
     - path: data/prepared_data
       hash: md5
-      md5: 8268b5117320d2589594a0eda859c5e5.dir
-      size: 36337
+      md5: 9afb06007a6da3cef1619e937e9c413e.dir
+      size: 36344
       nfiles: 2
     params:
       configs/build_model.yaml:
@@ -41,7 +41,7 @@ stages:
     outs:
     - path: data/model/
       hash: md5
-      md5: 85ed2d0d4f179e038b8ffd296b86f630.dir
+      md5: e0f58c7c4e12fa92b29d973dd5f3f565.dir
       size: 1096
       nfiles: 1
   generate_predictions:
@@ -49,13 +49,13 @@ stages:
     deps:
     - path: data/model
       hash: md5
-      md5: 85ed2d0d4f179e038b8ffd296b86f630.dir
+      md5: e0f58c7c4e12fa92b29d973dd5f3f565.dir
       size: 1096
       nfiles: 1
     - path: data/prepared_data
       hash: md5
-      md5: 8268b5117320d2589594a0eda859c5e5.dir
-      size: 36337
+      md5: 9afb06007a6da3cef1619e937e9c413e.dir
+      size: 36344
       nfiles: 2
     - path: generate_predictions.py
       hash: md5
@@ -68,7 +68,7 @@ stages:
     outs:
     - path: data/predictions/
       hash: md5
-      md5: 7bb333329935cc66390475a3ad6deaf9.dir
+      md5: 28ad87e9a47ea8815a0b8ba5808e750c.dir
       size: 2531
       nfiles: 1
   generate_metrics:
@@ -76,13 +76,13 @@ stages:
     deps:
     - path: data/predictions
       hash: md5
-      md5: 7bb333329935cc66390475a3ad6deaf9.dir
+      md5: 28ad87e9a47ea8815a0b8ba5808e750c.dir
       size: 2531
       nfiles: 1
     - path: data/prepared_data
       hash: md5
-      md5: 8268b5117320d2589594a0eda859c5e5.dir
-      size: 36337
+      md5: 9afb06007a6da3cef1619e937e9c413e.dir
+      size: 36344
       nfiles: 2
     - path: generate_metrics.py
       hash: md5
@@ -95,5 +95,5 @@ stages:
     outs:
     - path: metrics/metrics.json
       hash: md5
-      md5: bf7ed6a9b378b42fb3d7b6d16c76655f
-      size: 183
+      md5: 82e90d3f00bfd7c5a3fb83c2c14f4cff
+      size: 182

modules/ml-pipeline/src/pipeline/training/dvc.yaml

@@ -39,3 +39,5 @@ stages:
     - configs/generate_metrics.yaml:
     outs:
     - metrics/metrics.json
+metrics:
+  - metrics/metrics.json

modules/ml-pipeline/src/pipeline/training/generate_metrics.py

@@ -103,3 +103,7 @@ if __name__ == "__main__":
         ],
         metrics_output_filepath=generate_metrics_params["metrics_output_filepath"],
     )
+
+    logger.info("-------------------------------")
+    logger.info(f"--- {__file__} - Complete! ---")
+    logger.info("-------------------------------")

modules/ml-pipeline/src/pipeline/training/generate_predictions.py

@@ -99,3 +99,7 @@ if __name__ == "__main__":
             "predictions_output_filepath"
         ],
     )
+
+    logger.info("-------------------------------")
+    logger.info(f"--- {__file__} - Complete! ---")
+    logger.info("-------------------------------")