关于“Using the Natural Language API to classify unstructured text”的评价

Python code was invalid

Pierre B. · 已于 almost 6 years前审核

Khamchand S. · 已于 almost 6 years前审核

This was an interesting lab, but unfortunately, running classify-text.py with python3 results in the following error: student_03_0124b10b6b17@cloudshell:~ (qwiklabs-gcp-03-75c6632da366)$ python3 classify-text.py Got article files from GCS, sending them to the NL API (this will take ~2 minutes)... Traceback (most recent call last): File "classify-text.py", line 32, in <module> nl_response = classify_text(article_text) File "classify-text.py", line 17, in classify_text document=language.types.Document( AttributeError: module 'google.cloud.language' has no attribute 'types' python2 worked fine though.

Calvin Y. · 已于 almost 6 years前审核

ok

Gerardo A. · 已于 almost 6 years前审核

Vijayakumaran J. · 已于 almost 6 years前审核

In Task 6: Classifying news data and storing the result in BigQuery SELECT * FROM `news_classification_dataset.article_data` Last Course you mentioned that is a good practice to don't use 'SELECT *', you should regularize this good practice in all your videos.

Jorge E. · 已于 almost 6 years前审核

Siddaraju N. · 已于 almost 6 years前审核

Kenneth S. · 已于 almost 6 years前审核

Roman U. · 已于 almost 6 years前审核

Leung S. · 已于 almost 6 years前审核

Good content but very poor application performance. Taking almost a minute for each click response. Also end lab response returned 504 error.

Dev K. · 已于 almost 6 years前审核

MORRISDARREN B. · 已于 almost 6 years前审核

Andrea G. · 已于 almost 6 years前审核

André F. · 已于 almost 6 years前审核

Pradeep B. · 已于 almost 6 years前审核

Adhya, S. · 已于 almost 6 years前审核

Atithi C. · 已于 almost 6 years前审核

raghav m. · 已于 almost 6 years前审核

Debabrat D. · 已于 almost 6 years前审核

Gopinath K. · 已于 almost 6 years前审核

Sasha M. · 已于 almost 6 years前审核

Easy to follow instrucctions.

Diego H. · 已于 almost 6 years前审核

Alicia Judith A. · 已于 almost 6 years前审核

none

Lian Huat W. · 已于 almost 6 years前审核

Muthukumar S. · 已于 almost 6 years前审核