Open nfrvnikita opened 1 year ago
I think I figured out what the problem was and how to fix it. I need to use ColumnMapping, but another problem arose. Can you tell me what I did wrong?
column_mapping = ColumnMapping()
column_mapping.categorical_features = df_prev_prod.loc[:, df_prev_prod.dtypes == object].columns
column_mapping.numerical_features = list(df_prev_prod.select_dtypes(exclude='object').columns)
# data_drift = Dashboard(tabs=[DataDriftTab(verbose_level=False), CatTargetDriftTab(verbose_level=False)])
model_profile = Profile(sections=[DataDriftProfileSection()])
model_profile.calculate(data_ref[table], df_prev_prod, column_mapping=column_mapping)
json_eviden_metrics = json.loads(model_profile.json())
evidently_metrics = json_eviden_metrics['data_drift']['data']['metrics']
df_metrics = nested_dict_to_dataframe(evidently_metrics)
df_metrics.to_sql('data_drift', engine, if_exists='append', index=True)
Hi @nfrvnikita,
we recently released:
Both could be helpful with relation to your question.
Could you share if you still face issues with Postgres integration and Column mapping with the latest Evidently version?
Hello, everyone!
How can I load the resulting metrics into the postgresql database, in order to further visualize the dashboard in real time with grafana? I took this repository as a reference, but I am using my own data which is uploaded in real time https://github.com/mzadafiya/grafana_evidently_drift_detection , but nothing works.
The error that pops up is: