TFX メタデータ のレビュー

로봇 로봇 · 4年以上前にレビュー済み

The pipeline does not finish execution with the lab timeframe

Maćkowiak Tomasz · 4年以上前にレビュー済み

gcloud container clusters get-credentials cluster-1 --zone us-central1-a kubectl port-forward service/metadata-grpc-service --namespace default 7000:8080

Tan Soon Heng · 4年以上前にレビュー済み

Dong Bo · 4年以上前にレビュー済み

Dong Bo · 4年以上前にレビュー済み

Instance cannot be created ... Throwing error.

Bhagavathula Gopinath · 4年以上前にレビュー済み

Kumar Raj · 4年以上前にレビュー済み

Lindquist Brian · 4年以上前にレビュー済み

Was finally able complete the lab (after Qwiklabs terminated my last two attempts for no reason), but still think the lab has issues. The biggest one is time: Two hours is not enough! I barely finished, and I used the solutions notebook, meaning I was just running the code "as is". Running the pipeline took me over 70 minutes (not 40-45, as was claimed in the notebook). Add that to all the time spent creating a cluster, compiling the pipeline, etc..., and we have a paltry 10 minutes to examine the ML metadata and visualize the artifacts.

Corsmeier Matthew · 4年以上前にレビュー済み

I am following lab instruction and waited for over 1 hour but then the session got ended and said me not following lab instruction! Frustrating and wasted my time.

Wai Ho Wong · 4年以上前にレビュー済み

singh shikhar · 4年以上前にレビュー済み

singh shikhar · 4年以上前にレビュー済み

Still broken! This is a joke.

Corsmeier Matthew · 4年以上前にレビュー済み

ceyhan yasemin · 4年以上前にレビュー済み

the pipeline deployment fails

Lissa Guillermo · 4年以上前にレビュー済み

Instance cannot be created ... Throwing error.

Bhagavathula Gopinath · 4年以上前にレビュー済み

Instance cannot be created ... Throwing error.

Bhagavathula Gopinath · 4年以上前にレビュー済み

Instance cannot be created ... Throwing error.

Bhagavathula Gopinath · 4年以上前にレビュー済み

Lissa Guillermo · 4年以上前にレビュー済み

Shestirko Oleksii · 4年以上前にレビュー済み

Run fails after repeated attempts. Tried using the solution NB, and that fails as well.

Corsmeier Matthew · 4年以上前にレビュー済み

In Step 5, when I have to create a cluster to deploy kubeflow, appears the following error: Basic authentication was removed for GKE cluster versions >= 1.19. The cluster cannot be created with basic authentication enabled. Instructions for choosing an alternative authentication method can be found at: https://cloud.google.com/kubernetes-engine/docs/how-to/api-server-authentication.

Teruel Maximiliano · 4年以上前にレビュー済み

Instance cannot be created ... Throwing error. Same issue as labs in week2

Bhagavathula Gopinath · 4年以上前にレビュー済み

Popov Vadim · 4年以上前にレビュー済み

lu shizhao · 4年以上前にレビュー済み