关于“[Deprecated] TFX Metadata”的评价

Andrea M. · 评论over 2 years之前

Nicolas V. · 评论over 2 years之前

didn't worked to start the kubeflow pipeline and there were errors for python packages that weren't installed

George-Radu F. · 评论over 2 years之前

Cluster didn't initialize after 40 minutes of waiting

Juan Pablo I. · 评论over 2 years之前

ChengCheng T. · 评论over 2 years之前

Dariusz Ł. · 评论over 2 years之前

Dariusz Ł. · 评论over 2 years之前

Noushin S. · 评论over 2 years之前

excellent lab

Kris H. · 评论over 2 years之前

Tamás P. · 评论over 2 years之前

Israel S. · 评论over 2 years之前

PIPELINE DEPLYMENT IS NOT ABLE TO EXECUTE

RUIZ O. · 评论over 2 years之前

Rohith S. · 评论over 2 years之前

LAB DOESN'T WORK !!

RUIZ O. · 评论over 2 years之前

problems between platform AI and vertex Ai

Israel S. · 评论over 2 years之前

The grader is not working correctly. In addition, the pipeline run didn't finish even after almost one hour and a half

Mahdy S. · 评论over 2 years之前

Noushin S. · 评论over 2 years之前

RUIZ O. · 评论over 2 years之前

gsutil cp gs://cloud-training/TFX-Script/tfx-init.sh . sh tfx-init.sh ERROR: (gcloud.notebooks.instances.create) The zone 'projects/qwiklabs-gcp-00-475d4483fc33/zones/us-central1-a' does not have enough resources available to fulfill the request. Try a different zone, or try again later. ERROR: (gcloud.compute.instances.delete) Could not fetch resource: - The resource 'projects/qwiklabs-gcp-00-475d4483fc33/zones/us-central1-a/instances/startup-vm' was not found

Sergio R. · 评论over 2 years之前

Mostly alright, but the lab ran out of time before the tuning phase of the pipeline completed, unfortunately.

Jonnie B. · 评论over 2 years之前

Jairobe M. · 评论over 2 years之前

Carlos V. · 评论over 2 years之前

Again, incompletable as TFX cannot currently be built on GCP as the lab asks

Oliver B. · 评论over 2 years之前

Diogo C. · 评论over 2 years之前

Alexey T. · 评论over 2 years之前