Comments (5)
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 ?
from responsible-ai-toolbox.
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.
from responsible-ai-toolbox.
Hi
I'm facing a similar problem, but in my case there is only one node in my tree
from responsible-ai-toolbox.
@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.
from responsible-ai-toolbox.
@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()
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)
from responsible-ai-toolbox.
Related Issues (20)
- Broken links HOT 1
- ResponsibleAIDashboard CORS origin issue
- Support for bias/unfairness mitigation for multiclass classification problems HOT 1
- fairness-interpretability-dashboard-income-prediction.ipynb / from raiwidgets import ExplanationDashboard command --> TypeError: init() got an unexpected keyword argument 'unbound_message' HOT 2
- Question: Is it possible to use the decision tree visualization on its own? HOT 3
- Not able to build Numba and LLVM wheel for raiwidgets HOT 5
- Make responsible ai dashboard work with Databricks HOT 1
- Installation Error. HOT 4
- Widget is not displaying in localhost HOT 1
- ImportError: numpy.core.multiarray failed to import HOT 1
- Flask Issue HOT 5
- RAIVisionInsights to accept torch Datasets HOT 1
- Examples links broken HOT 1
- erroranalysis conda feedstock - requirements-object-detection.txt not found
- nlp-feature-extractors pypi source does not include requirements.txt and LICENSE - needed for conda feedstock
- responsibleai-text pypi source does not include requirements.txt and LICENSE - needed for conda feedstock
- Bug report HOT 1
- not able to install raiwidgets
- Feature enhancements and bug fixes for generative text task
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from responsible-ai-toolbox.