Prepare Data for ML APIs on Google Cloud: Challenge Lab avis

Mahesh V. · Examiné il y a 3 mois

Cristopher B. · Examiné il y a 3 mois

25EU06R0167 - S. · Examiné il y a 3 mois

Gourab B. · Examiné il y a 3 mois

DANIEL FELIPE P. · Examiné il y a 3 mois

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. · Examiné il y a 3 mois

Gourab B. · Examiné il y a 3 mois

Tanuj D. · Examiné il y a 3 mois

Sachin H. · Examiné il y a 3 mois

Mateusz B. · Examiné il y a 3 mois

Rahul K. · Examiné il y a 3 mois

Gourab B. · Examiné il y a 3 mois

Aarti D. · Examiné il y a 3 mois

Mahesh V. · Examiné il y a 3 mois

Gulshan K. · Examiné il y a 3 mois

Gourab B. · Examiné il y a 3 mois

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

Nayan V. · Examiné il y a 3 mois

Davide M. · Examiné il y a 3 mois

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

Daniel C. · Examiné il y a 3 mois

Nice !!!

Zinnoor M. · Examiné il y a 3 mois

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. · Examiné il y a 3 mois

Induja P. · Examiné il y a 3 mois

Samuel I. · Examiné il y a 3 mois

MANVI J. · Examiné il y a 3 mois

Akanksha G. · Examiné il y a 3 mois