关于“Introduction to TensorFlow Data Validation”的评价
7291 条评价
Nikhil S. · 已于 7 months前审核
boopathi r. · 已于 7 months前审核
diabeticus95 S. · 已于 7 months前审核
SAKSHAM G. · 已于 7 months前审核
Kareena B. · 已于 7 months前审核
Emir L. · 已于 7 months前审核
Holly D. · 已于 7 months前审核
Chandraneel T. · 已于 7 months前审核
Chandraneel T. · 已于 7 months前审核
Yash D. · 已于 7 months前审核
Yuri V. · 已于 7 months前审核
Praful D. · 已于 7 months前审核
bharat a. · 已于 7 months前审核
vinay s. · 已于 7 months前审核
Wayne L. · 已于 7 months前审核
Fandio N. · 已于 7 months前审核
K Sai Sidhartha R. · 已于 7 months前审核
Sarthak K. · 已于 7 months前审核
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. · 已于 7 months前审核
Keiven T. · 已于 7 months前审核
good
Sree Sai Vaishnavi M. · 已于 7 months前审核
too slow to load my instance!!!!
Nicholas A. · 已于 7 months前审核
Laurent J. · 已于 7 months前审核
Gopi V. · 已于 7 months前审核
Kamil W. · 已于 7 months前审核
我们无法确保发布的评价来自已购买或已使用产品的消费者。评价未经 Google 核实。