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Have I written custom code (as opposed to using a stock example script
provided in TensorFlow Model Analysis): N/A
OS Platform and Distribution (e.g., Linux Ubuntu 16.04): CentOS 7
TensorFlow Model Analysis installed from (source or binary): 0.27.0
TensorFlow Model Analysis version (use command below): 0.27.0
Python version: 3.7
Jupyter Notebook version: JupyterLab 2.2.9
Exact command to reproduce: nbconvert --to html
Describe the problem
Currently, TFDV, Tensorboard and other TFX UI elements that are rendered inline in a Jupyter notebook convert and are usable interactively in an HTML export/render of the notebook. This is highly useful when e.g. publishing a static HTML snapshot of a notebook for sharing with others.
However, the TFMA output widget seems to render as a blank output in this mode. This presents a UX gap in the E2E sharing of TFX pipelines inside Jupyter notebooks.
It is potentially related to #112 (which supercedes #56).
System information
provided in TensorFlow Model Analysis): N/A
nbconvert --to html
Describe the problem
Currently, TFDV, Tensorboard and other TFX UI elements that are rendered inline in a Jupyter notebook convert and are usable interactively in an HTML export/render of the notebook. This is highly useful when e.g. publishing a static HTML snapshot of a notebook for sharing with others.
However, the TFMA output widget seems to render as a blank output in this mode. This presents a UX gap in the E2E sharing of TFX pipelines inside Jupyter notebooks.
It is potentially related to #112 (which supercedes #56).
Source code / logs
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