Niraj Singh

Results 263 comments of Niraj Singh

@StriderDM35, I can see similar [issue](https://github.com/kubeflow/pipelines/issues/4592) on kubeflow repo and #2556. As a suggested resolution, your code needs to be in the image you use in your component. Please try...

@StriderDM35, The taxi template path containing Models, Pipeline folders shall be copied to the image and the path should be added to environment variable as shown [here](https://stackoverflow.com/a/3402196). Hope this helps....

@StriderDM35, Yes, Please try to add these lines and let us know if it helps in fixing the issue. Thank you!

@umusa, You can try using [get_statistics_html](https://www.tensorflow.org/tfx/data_validation/api_docs/python/tfdv/get_statistics_html) that generates the HTML objects and calling those instead of the visualize functions. Then, visualize those functions with the DataBricks [displayHTML](https://docs.databricks.com/notebooks/visualizations/html-d3-and-svg.html) function. Hope this...

@deep-diver, In order to expedite the trouble-shooting process, please provide a minimal code snippet to reproduce the issue reported here. Thank you!

@OmarAlsaqa, I tried the same colab file with latest version and it worked for me. Please find attached the [gist](https://colab.sandbox.google.com/gist/singhniraj08/4d77e7f7943b29777a94423f4fb17637/tfx_penguin.ipynb#scrollTo=ulGE6uZjOnrn) here. Could you please confirm with same versions? Thank you!...

@OmarAlsaqa, Thank you for the confirmation. Requesting you to close this issue.

@alexperry-shifu, Kindly try the possible solutions provided in [link 1](https://stackoverflow.com/questions/47998552/apache-airflow-dag-cannot-import-local-module) and [link 2](https://stackoverflow.com/questions/72913749/modulenotfounderror-while-importing-airflow-dag) and let us know if it helps in resolution. Thank you.

@alexperry-shifu, Did you got any chance to look into the solution provided above? Thank you!

@IshootLaser, TFX StatisticsGen component writes the statistics protocol buffer in a TFRecord file. You can visualize the statistics in a Jupyter notebook as follows: ``` import tensorflow_data_validation as tfdv train_stats...