关于“Using custom containers with AI Platform Training”的评价

Sayantaun G. · 评论over 4 years之前

Jonatan H. · 评论over 4 years之前

Mikko R. · 评论over 4 years之前

Ranjit B. · 评论over 4 years之前

Stephen C. · 评论over 4 years之前

Ranjit B. · 评论over 4 years之前

Vijay K. · 评论over 4 years之前

Was good experience!

Shreyas R. · 评论over 4 years之前

Daniel Q. · 评论over 4 years之前

ホリカワ ホ. · 评论over 4 years之前

Notebook Not working , goes infinite loop, even though job was finished. Repo was cloned, check status not working

Himica K. · 评论over 4 years之前

Got stuck on verifying that git repo was cloned. Did succesfully clone, but wasnt able to get lab to detect this. On second attempt, lab failed to verify "submit an ai platform hyperparameter tuning job" (despite successful in console). Succeeded to verify after running the job for the second time. Very fragile experience

Fredrik N. · 评论over 4 years之前

Sara S. · 评论over 4 years之前

Guruprasad V. · 评论over 4 years之前

Container not in meta data of the ai-instance. Jupyter lab doesn't connect. Authenticating error. Student account does not have edit permission to set up pipeline instance

Yingyin L. · 评论over 4 years之前

Phanindra C. · 评论over 4 years之前

Brandon V. · 评论over 4 years之前

Omkar D. · 评论over 4 years之前

The exercise is broken. It cannot find the cloned repo "mlops-on-gcp". Moreover, training docker needs pandas>=0.25.3, not 0.24.2

Mikel B. · 评论over 4 years之前

frustrating to have so many issues with qwiklabs grading system again

Bennie L. · 评论over 4 years之前

Jason P. · 评论over 4 years之前

Some of the checkpoints didn't work

Annanina K. · 评论over 4 years之前

Oleksii K. · 评论over 4 years之前

The exercise is broken. It cannot find the cloned repo "mlops-on-gcp". Moreover, training docker needs pandas>=0.25.3, not 0.24.2

Mikel B. · 评论over 4 years之前