Comments (5)
I was able to make some progress. Currently executing the Chicago taxi on the Google Cloud Datalab. I was able to import the tensorflow-model-analysis, tensorflow-data-validation, render the data validation tables. The only piece that is currently not working is the tensorflow-model-analysis rendering commands. See attached the notebook (with txt extension to allow me to uplaod) Please let me know if you have any recommendation. Many thanks, eilalan
or_chicago_taxi_tfma_local_playground.ipynb.txt
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@OrielResearchCure ,
Can you please confirm if you can run Tensorflow Model Analysis rendering commands with the latest version.
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Hi,
Thank you for the follow up. Datalab is my daily go to tool.
As far as I remember, It is not working smoothly.
I was running the below installations when I wanted it to work.
TFX is not supporting tensorflow-alpha at the moment, so I am unable to work with it at all at the moment. I am running the same list of installations (changing tensorflow==2.0.0-alpha0) when I want to work with the latest tensorflow.
I am looking forward to have the latest libraries working out of the box.
Please let me know if there is a way to work with TFX / latest Tesnorflow with less installations added.
Many thanks,
Eila
%%bash
source activate py2env
conda install -y dill==0.2.8.2 psutil==5.4.8 protobuf==3.6.0
conda remove -y python-snappy
pip install tensorflow==1.12.0 tensorflow-model-analysis==0.11.0 tensorflow_transform==0.11.0 pandas-gbq==0.4.1 tensorboard==1.12.0 apache-beam[gcp]==2.8.0 tensorflow-data-validation==0.11.0 tensorflow-probability tensorflow-metadata==0.9.0 widgetsnbextension==3.4.2 scipy==1.1.0 tensorflow-serving-api==1.11.0
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- Supporting TF 2.0 end-to-end in TFX is currently a work in progress.
- As of now, installations are required because each Component can be used independently as well.
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Automatically closing due to lack of recent activity. Please update the issue when new information becomes available, and we will reopen the issue. Thanks!
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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
- 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
- pip install tensorflow-model-analysis fails on WSL2 on Windows 11 HOT 2
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