[Deprecated] TFX Metadata Reviews
2231 reviews
로봇 로. · Reviewed מעל 4 שנים ago
The pipeline does not finish execution with the lab timeframe
Tomasz M. · Reviewed מעל 4 שנים ago
gcloud container clusters get-credentials cluster-1 --zone us-central1-a kubectl port-forward service/metadata-grpc-service --namespace default 7000:8080
Soon Heng T. · Reviewed מעל 4 שנים ago
Bo D. · Reviewed מעל 4 שנים ago
Bo D. · Reviewed מעל 4 שנים ago
Instance cannot be created ... Throwing error.
Gopinath B. · Reviewed מעל 4 שנים ago
Raj K. · Reviewed מעל 4 שנים ago
Brian L. · Reviewed מעל 4 שנים ago
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.
Matthew C. · Reviewed מעל 4 שנים ago
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.
Wong W. · Reviewed מעל 4 שנים ago
shikhar s. · Reviewed מעל 4 שנים ago
shikhar s. · Reviewed מעל 4 שנים ago
Still broken! This is a joke.
Matthew C. · Reviewed מעל 4 שנים ago
yasemin c. · Reviewed מעל 4 שנים ago
the pipeline deployment fails
Guillermo L. · Reviewed מעל 4 שנים ago
Instance cannot be created ... Throwing error.
Gopinath B. · Reviewed מעל 4 שנים ago
Instance cannot be created ... Throwing error.
Gopinath B. · Reviewed מעל 4 שנים ago
Instance cannot be created ... Throwing error.
Gopinath B. · Reviewed מעל 4 שנים ago
Guillermo L. · Reviewed מעל 4 שנים ago
Oleksii S. · Reviewed מעל 4 שנים ago
Run fails after repeated attempts. Tried using the solution NB, and that fails as well.
Matthew C. · Reviewed מעל 4 שנים ago
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.
Maximiliano T. · Reviewed מעל 4 שנים ago
Instance cannot be created ... Throwing error. Same issue as labs in week2
Gopinath B. · Reviewed מעל 4 שנים ago
Vadim P. · Reviewed מעל 4 שנים ago
shizhao l. · Reviewed מעל 4 שנים ago
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