graph_df sample data is missing in test folder.

[vishvas-chauhan]

is it possible to see the graph_df data that you used to test the model.
I tried a sample data but it doesn't match.

Cause Effect Strength Direction
0 NetworkTraffic Throughput Weak inhibits
1 Workload Latency Strong inhibits

🥹 didn't work !
Can you please add a sample data for graph_df so i can try in create the model. BayesianNetwork(config=BayesianNetwork.config_class(graph=graph_df))
graph_df:

[chenghaoliu89]

Hi @vishvas-chauhan you can refer to test_bayesian.py or RootCauseAnalysis.ipynb for a sample of graph_df,

[vishvas-chauhan]

hi @chenghaoliu89
i have training data in below format, that can be converted to pd.DataFrame. How can i train the BayesianNetwork on this data. And, please add the some highlights for graph_df data (is it an adjacency_metrics form of data). can you help to create or get graph_df data. after converting to 3d metrics it raise
nx.NetworkXError("Input is not a valid edge list") from err networkx.exception.NetworkXError: Input is not a valid edge list

• train_df below
  data = {
  'event_time': ['2023-01-04', '2023-01-08'],
  'ServerStatus': ['Down', 'Up'],
  'NetworkTraffic': [45, 87],
  'Workload': [2, 4],
  'ErrorRate': [0.784977, 0.160914],
  'Latency': [82, 18],
  'Throughput': [385, 764]
  }