关于“Prepare Data for ML APIs on Google Cloud：挑戰研究室”的评价

James W. · 评论3 days之前

Parece que tá zuado

Eduardo C. · 评论3 days之前

Adila U. · 评论3 days之前

narendar v. · 评论3 days之前

Jillian M. · 评论3 days之前

Antonio Pedro d. · 评论3 days之前

Kavitha C. · 评论3 days之前

Rawena Jamile d. · 评论3 days之前

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Antonio Pedro d. · 评论3 days之前

Rawena Jamile d. · 评论3 days之前

Mohammed A. · 评论3 days之前

Muhammad Ahsan Q. · 评论3 days之前

Parece que tá zuado

Eduardo C. · 评论3 days之前

I had to manually edit the metadata to be application/json for Task 3 & Task 4 to check. That's not clear considering that we have to name the file .result which automatically sets it to a different type when you gsutil cp over to cloud storage

India O. · 评论3 days之前

Vilmos W. · 评论3 days之前

Prusevich H. · 评论3 days之前

Muhammad Ahsan Q. · 评论3 days之前

Johan Smith R. · 评论3 days之前

Arnavee M. · 评论3 days之前

Divya B. · 评论3 days之前

Vitalii K. · 评论3 days之前

Good lab - but there is a lack of troubleshooting hints. There is a potential problem when checking the results in a json file placed in GCS. The file type in GCS must be "application/json". When copying files using gsutil if the name of the file is not ".json" the type of the file is not set correctly. And the lab forces you to have a file name wihtout "json" extension (ie task4-cnl-275.result). So the checker breaks and there is no feedback around why it fails.

Marc K. · 评论3 days之前

Ratlavath S. · 评论3 days之前

Mohsin Y. · 评论3 days之前