SIENTIAPDE-1645: Add comprehensive model training observability metrics and Grafana dashboard.

t.py

@@ -0,0 +1,24 @@
+# %%
+from pandas import read_csv, to_datetime
+
+df = read_csv('data-1780946658143.csv')
+
+# %%
+df.head()
+
+# %%
+# normalize timestamp to naive "yyyy-MM-dd HH:mm:ss" (drop the "+00" UTC offset)
+df['timestamp'] = to_datetime(df['timestamp'], utc=True).dt.tz_localize(None)
+df['timestamp'] = df['timestamp'].dt.strftime('%Y-%m-%d %H:%M:%S')
+
+# %%
+# pivot the dataframe
+df = df.pivot(index='timestamp', columns='variable', values='value')
+
+# %%
+df.head()
+
+
+# %%
+df.to_csv('data-1780946658143-pivot.csv')
+# %%