Introduction to TensorFlow Data Validation Reviews

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Sarthak K. · Reviewed about 1 year ago

Thank you for providing the lab. All is good, except that the notebook won't run due to possibly version issues. A required module is not found and I don't know how to get around the issue. To compensate the demo experience I watched a youtube video demonstrating the lab and read a medium article on the utility of the tf data validation functionality. # error snippet from running tfdv_basic_spending.ipynb(or tfdv_basic_spending_old.ipynb) --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[3], line 2 1 import pandas as pd ----> 2 import tensorflow_data_validation as tfdv .... File ~/.local/lib/python3.10/site-packages/apache_beam/coders/coder_impl.py:1, in init apache_beam.coders.coder_impl() ModuleNotFoundError: No module named 'apache_beam.utils' .... I think I understood the main point of the lesson. Using tfdv to check for anomalies in my data is useful. The functionality provides visualizations and summaries about class imbalances, missing values, and anomalies. I'll try to put it into practice. Thanks for the info. Have a wonderful day~

웅비 최. · Reviewed about 1 year ago

Keiven T. · Reviewed about 1 year ago