关于“TFX on Cloud AI Platform Pipelines”的评价

ai platform Jupyter lab not showing in the workbench

DANIEL M. · 评论over 1 year之前

Yomna M. · 评论over 1 year之前

Pipeline creation when we we face issue and trying to create the same

Radhakrishnan A. · 评论over 1 year之前

Ana Filipa A. · 评论over 1 year之前

below code not running properly RUN_ID='[YOUR RUN ID]' !tfx run status --pipeline_name {PIPELINE_NAME} --run_id {RUN_ID} --endpoint {ENDPOINT}

WONG S. · 评论over 1 year之前

cloud shell is very slow. will retry later

Radhakrishnan A. · 评论over 1 year之前

Finally notebook showed up

Shobhit S. · 评论over 1 year之前

quang q. · 评论over 1 year之前

Lực Đ. · 评论over 1 year之前

library outdated need to hack the ~/.local/bin file to make install library works

Chiu Yat T. · 评论over 1 year之前

George D. · 评论over 1 year之前

George D. · 评论over 1 year之前

Hoàng Q. · 评论over 1 year之前

I had issues. We'll re run it one more time tomorrow.

J P. · 评论over 1 year之前

Raspiani _. · 评论over 1 year之前

This labs does not use vertex and could be a super sandbod to Kuberflow, but beware, most of the tools are outdated and you should not ignore errors or warnings, first thing is to set up the true region on nano (on default solution it target at us-cental-a), change everything step by stp (even .py, build, tar, images, etc...) nothing here is a step by step guide and you should count on hints even on solution, so this is the hardest lab to get it tidy by FAR, if using vertex could easly be a chalenge lab...

Andre C. · 评论over 1 year之前

Robert K. · 评论over 1 year之前

Binh Q. · 评论over 1 year之前

Iñaki G. · 评论over 1 year之前

Mohan Prakash K. · 评论over 1 year之前

instructions do not work

Andrea M. · 评论over 1 year之前

ai platform Jupyter lab not showing in the workbench

DANIEL M. · 评论over 1 year之前

Dhanasekar S. · 评论over 1 year之前

LUCAS S. · 评论over 1 year之前

Graded App Item: Graded App ItemQwiklabs - TFX on Cloud AI Platform Pipelines cannot be completed or graded. Something is wrong with the Kubeflow Pipelines by Google Cloud AI Platform

WONG S. · 评论over 1 year之前