Comments (2)
I am able to run the render_plot()
successfully in Colab Environment. Ref: screenshot below
TFMA installation in colab failed in your case because of Python version mismatch between Python 3.10 installed in colab and python supported version by TFMA. There is a workaround to install TFMA in colab. You can refer to attached gist.
The error you are facing looks like is because of Jupyter extensions missing. Please make sure Jupyter extensions are installed as shown in tutorial and let us know if still you are facing issues. Thank you!
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Closing this due to inactivity. Please take a look into the answers provided above, feel free to reopen and post your comments(if you still have queries on this). Thank you!
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Related Issues (20)
- Unable to use custom Keras metrics with TFX evaluator component HOT 4
- AttributeError: partially initialized module error, test.py HOT 2
- Incorrect Documentation for MetricConfig
- Custom multilabel Keras metrics: dynamically initialize weight shape HOT 1
- Fairness indicator metrics do not show up HOT 5
- Validation bug when using feature values as slicing specs HOT 2
- No longer compatible with Dataflow runner v1 after v0.29
- Renaming Custom Layer breaks TFMA Evaluator HOT 6
- Error in merge_accumulators when using keras metrics on dataflow HOT 3
- TFMA analyze_raw_data function support with MultiClassConfusionMatrixPlot HOT 3
- Analytics HOT 1
- Breaking changes: tfma.metrics.MetricComputation `preprocessor` argument changed from accepting beam DoFn to `preprocessors` accepting a list of `Preprocessor` HOT 1
- Move to numpy >=1.20 because <1.20 is difficult to build on Apple Silicon HOT 4
- TFMA on Flink does not seems to be parallelizing work. HOT 5
- only integer values should be passed to num_instances metric. HOT 3
- Feat: Have ability to return the HTML rather than creating the plots HOT 1
- CVE in Pyarrow dependency HOT 1
- CNN HOT 2
- pip install tensorflow-model-analysis fails on WSL2 on Windows 11 HOT 2
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