Comments (4)
same issue. Doesn't render anything in Jupyter notebook.
@pfyang this is about running/rendering in Jupyter, not virtualenv (or Colab)
from model-analysis.
Hi Nathan,
Since you are using --user, I suppose you are not using virtualenv. Could you please try it with virtualenv first?
If you are using virtualenv, please try running the local playground notebook. Does it work? If not, please check to see if any error occurred in the browser. Look up how to open developer toolbar in your choice of browser. (eg: press F12 if you are using Chrome on linux.)
Thanks!
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Closing due to inactivity.
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Hello, I am having the same issue. I am running the installation with --sys-prefix
My render code looks like that
tfma.view.render_slicing_metrics(tfma_result_1, slicing_column='trip_start_hour')
output:
U2xpY2luZ01ldHJpY3NWaWV3ZXIoY29uZmlnPXsnd2VpZ2h0ZWRFeGFtcGxlc0NvbHVtbic6ICdwb3N0X2V4cG9ydF9tZXRyaWNzL2V4YW1wbGVfY291bnQnfSwgZGF0YT1beydtZXRyaWNzJzrigKY=
I have attached the code. I am using the Chicago taxi example to try to make it work.
Many thanks for any advice,
eilalan
or_chicago_taxi_tfma_local_playground (1).ipynb.txt
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Related Issues (20)
- More elaborate documentation for TFMA
- 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
- Render_plot is failing HOT 2
- Feat: Have ability to return the HTML rather than creating the plots HOT 1
- CVE in Pyarrow dependency HOT 1
- CNN HOT 2
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