关于“TFX on Cloud AI Platform Pipelines”的评价

The setup is too much, too complex, there are many failure points. this is the second time I try running the lab and I can't.

Emmanuel B. · 评论over 1 year之前

Waiting for notebook to be provisioned for 30 minutes and it never happened. Tried to make my own notebook but it didn't work

Ciaran R. · 评论over 1 year之前

Vikash K. · 评论over 1 year之前

Raman B. · 评论over 1 year之前

Prithijit S. · 评论over 1 year之前

Fallo sin resolver ni entener el poque

Kamel S. · 评论over 1 year之前

steps no longer work in ai platform

Grant W. · 评论over 1 year之前

Vivek R. · 评论over 1 year之前

James C. · 评论over 1 year之前

Nijatma A. · 评论over 1 year之前

Raju D. · 评论over 1 year之前

Chitta Ranjan N. · 评论over 1 year之前

20/60 final run does not see Creating a run for pipeline: {tfx_covertype_continuous_training} Use --engine flag if you intend to use a different orchestrator. Pipeline "{tfx_covertype_continuous_training}" does not exist. Appears that this is an issue for most students as of late. Credit for the labs would be great.

Benjamin C. · 评论over 1 year之前

Cedrick-Armel Y. · 评论over 1 year之前

Bảo Minh L. · 评论over 1 year之前

Lợi N. · 评论over 1 year之前

Pipeline creation hanged on the deployment step; could not complete lab.

Evan W. · 评论over 1 year之前

Julius L. · 评论over 1 year之前

Frustrating that the notebook scripts are not correct with error command not found.

Babulal .. · 评论over 1 year之前

Raman B. · 评论over 1 year之前

Phi L. · 评论over 1 year之前

Carlos O. · 评论over 1 year之前

Benjamin A. · 评论over 1 year之前

Shimona N. · 评论over 1 year之前

Just atrocious error filled lab. Each lab in this learning path is worse than the previous one. I shouldn't have to do a lab 4 times because the processes keep timing out. Such a giant waste of my time.

Brian A. · 评论over 1 year之前