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hawestra avatar hawestra commented on June 1, 2024

Hi @karthi0804, sorry for the delay in response; I wasn't able to repro this issue using the latest version of raiwidgets and responsibleai. Are there any errors in the console ? Are you running this locally or using a remote compute ?

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LucieNvz avatar LucieNvz commented on June 1, 2024

Hello, I am currently facing the same problem. Nothing is displayed in the error analysis component. The tree map is empty.
I am running code remotely, and am using the latest versions of the required packages. I also followed the same notebook tutorial.

The other components seem to work as expected.

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WalidBenAhmed avatar WalidBenAhmed commented on June 1, 2024

Hi
I'm facing a similar problem, but in my case there is only one node in my tree
error trre_only one node

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imatiach-msft avatar imatiach-msft commented on June 1, 2024

@WalidBenAhmed it looks like everything is working as intended for you - just every example has an error. Why specifically all true and predicted labels don't align is another question though - perhaps taking a screenshot of the table view might help us understand what is causing all instances to be invalid here.

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WalidBenAhmed avatar WalidBenAhmed commented on June 1, 2024

@imatiach-msft, thank you for your reply
I'm using the example responsibleaidashboard-diabetes-regression-model-debugging.ipynb (attached)
you can use it to reproduce the issue
responsibleaidashboard-diabetes-regression-model-debugging.zip

Method 1: doesn't work => we have one node
rai_insights = RAIInsights(model, train_data, test_data, target_feature, 'regression',
feature_metadata=feature_metadata)
rai_insights.explainer.add()
rai_insights.error_analysis.add()
error tree_only one node

Method 2, using the same data and model: works
predictions = model.predict(X_test)
ErrorAnalysisDashboard(dataset=X_test, true_y=y_test, features=continuous_features,
pred_y=predictions, model_task='regression',
max_depth=3)
error tree_complete tree

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