关于“在 Google Cloud 上为机器学习 API 准备数据：实验室挑战赛”的评价

Mahesh V. · 已于 3 months前审核

Cristopher B. · 已于 3 months前审核

25EU06R0167 - S. · 已于 3 months前审核

Gourab B. · 已于 3 months前审核

DANIEL FELIPE P. · 已于 3 months前审核

Generally good but the requirement for validating the API calls was unclear. I outputted the result directly to a .result file on my filesystem and uploaded that with gsutil, which it didn't accept (although this is a perfectly valid Linux command). It only validated it as correct when I piped the output to a .json file, and then did the rename at the gsutil upload stage. This is poor validation since both ways are correct.

Jacqueline P. · 已于 3 months前审核

Gourab B. · 已于 3 months前审核

Tanuj D. · 已于 3 months前审核

Sachin H. · 已于 3 months前审核

Mateusz B. · 已于 3 months前审核

Rahul K. · 已于 3 months前审核

Gourab B. · 已于 3 months前审核

Aarti D. · 已于 3 months前审核

Mahesh V. · 已于 3 months前审核

Gulshan K. · 已于 3 months前审核

Gourab B. · 已于 3 months前审核

i got problem that my 3rd task not showing completed even after i completed

Nayan V. · 已于 3 months前审核

Davide M. · 已于 3 months前审核

In instructions (dataproc) indication was run the job in a N2 cluster, but impossible to choose that option (only N4 available)

Daniel C. · 已于 3 months前审核

Nice !!!

Zinnoor M. · 已于 3 months前审核

Data allocation for ML API are discretized with parallel and scalable function for a running Dataflow template region enabled in a Cloud Shell region with its compatible Cloud Storage Bucket instance.

Anshuman M. · 已于 3 months前审核

Induja P. · 已于 3 months前审核

Samuel I. · 已于 3 months前审核

MANVI J. · 已于 3 months前审核

Akanksha G. · 已于 3 months前审核