Comments (1)
In WIT, the querying of the model on the datapoints is done through python code that executes behind the html, powering what is displayed. So we cannot return HTML from WitWidget that can be rendered in a separate webpage.
If you want to embed WIT in a webpage, you can use it inside of an instance of TensorBoard you run (which itself is a webpage). WIT in TensorBoard will soon support custom predict functions, as can be seen in #94
Or you could add WIT code to your own web server's front-end and add code to your web server to run the model and pass the results back to the front-end WIT HTML. That will require a bunch of glue code in your front-end html/js code and your web server, but it is doable. Our web demos (https://github.com/PAIR-code/what-if-tool/tree/master/wit_dashboard/demo) are one example of embedding WIT directly in a webpage, but in those cases, we run the models in the browser using TensorFlow.js models, so our web demos don't require a backend.
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Related Issues (20)
- Does what-if-tool support lightgbm or xgboost or scikit learning models? HOT 1
- Replacing model with predictions data HOT 1
- GOOGLE APPLICATION CREDENTIALS HOT 3
- Can this work just on data without any model input? HOT 1
- Can the dashboard be changed according to our need? HOT 1
- what if tool for ranking model? HOT 1
- how to install what if in managed notebook of vertex ai? HOT 3
- UnboundLocalError("local variable 'values' referenced before assignment") HOT 7
- what-if tool unable to return predictions - InactiveRpcError
- Enabling Persistence with what-if tensorboard plugin
- Data loading issue at scale with tensorboard what-if plugin
- Error when trying to reproduce example notebook locally HOT 6
- Custom Sprite Thumbnail Dimensions HOT 1
- Unable to import Witwidget
- Cant use fairness solution for regression so In that case How to mitigate the bias for the regression model? HOT 1
- ERROR: An error occurred during the fetch of repository 'zlib': HOT 1
- Uncaught (in promise) Error: Tensorflow Op is not supported: _FusedConv2D HOT 5
- Failed to load view class 'WITView' from module 'wit-widget'
- Predict in Datapoint-Editor leads to non-deterministic behavior HOT 1
- What If tool returning error HOT 1
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