Update feature_pipeline.py

notebooks/SML/feature_pipeline.py

@@ -50,7 +50,7 @@ tsla_df['date'] = pd.to_datetime(tsla_df['date'])
 tesla_fg = fs.get_or_create_feature_group(
     name="tesla_stock",
     description="Tesla stock dataset from alpha vantage",
-    version=2,
+    version=5,
     primary_key=["ticker"],
     event_time=['date'],
     online_enabled=False,
@@ -77,7 +77,7 @@ news_df_updated['date'] = pd.to_datetime(news_df_updated['date'])
 news_sentiment_fg = fs.get_or_create_feature_group(
     name='news_sentiment_updated',
     description='News sentiment from Polygon',
-    version=2,
+    version=5,
     primary_key=['ticker'],
     event_time=['date'],
     online_enabled=False,