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

Mayuri Raosaheb H. · 评论8 months之前

Please note that the output for files (metadata) should be application/json in the GCS buckets for tasks 3 and 4. Without that the check fails

Pavel G. · 评论8 months之前

Chong Z. · 评论8 months之前

good lab

Lê Viết T. · 评论8 months之前

Steps 3 and 4 confused me as compared to the referenced labs. Was I to use the console or the shell? I tried both, but in the end, I had to juggle things around. I found it hard to access the storage bucket from the shell. Whereas in the referenced qwik start labs, the end-results are saved as ".result" files, the challenge labs expect to see JSON files. What am I missing here? For example, with the natural language task, how do I get the result created within the bucket? How do I modify the final API call? gcloud ml language analyze-entities --content="example_text" > result.json What do I change the "result.json" into? How do I point to the GS bucket? Cheers :)

Chris M. · 评论8 months之前

Phan Trần Anh K. · 评论8 months之前

Duy Hoàn N. · 评论8 months之前

excellent lab, really made it difficult for me.

Vineeth N. · 评论8 months之前

WENDHA A. · 评论8 months之前

need to redo 3 times because always got permission issue

AMIRAH A. · 评论8 months之前

Amazing lab thank you for all

Josue Daniel D. · 评论8 months之前

Sushma P. · 评论8 months之前

Bhumika G. · 评论8 months之前

Edgar V. · 评论8 months之前

hard

MOHAMAD ZULKARNAIN A. · 评论8 months之前

WENDHA A. · 评论8 months之前

Alejandro C. · 评论8 months之前

Santosh P. · 评论8 months之前

Danilo F. · 评论8 months之前

Dilip Kumar M. · 评论8 months之前

Claudio L. · 评论8 months之前

Danilo F. · 评论8 months之前

Mahesh B. · 评论8 months之前

Trần Tuấn A. · 评论8 months之前

Claudio C. · 评论8 months之前