TFX no Cloud AI Platform Pipelines avaliações

LIZBETH GUADALUPE F. · Revisado há over 1 year

Vijay . · Revisado há over 1 year

Cédric b. · Revisado há over 1 year

Andrés C. · Revisado há over 1 year

Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline. If you're getting stuck on task 1, make sure that step 6 has been performed correctly. You should be deploying via kubeflow pipelines and it will be visible in the applications tab in GKE if deployed. If you have issues with the notebook, you can look at the solutions in the cloned repo which can help with passing completion checks as sometimes the checks are finnicky.

Asher C. · Revisado há over 1 year

Sathit P. · Revisado há over 1 year

Luis Fernando . · Revisado há over 1 year

Krishnan R. · Revisado há over 1 year

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · Revisado há over 1 year

Problem in the workbench based task

Darshan B. · Revisado há over 1 year

Mario H. · Revisado há over 1 year

Bowon P. · Revisado há over 1 year

Traceback (most recent call last): File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/container_builder/skaffold_cli.py", line 40, in __init__ stdout=subprocess.DEVNULL) File "/opt/conda/lib/python3.7/subprocess.py", line 512, in run output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['which', 'skaffold']' returned non-zero exit status 1. and, on the second try: Error encountered while creating a cluster. Please try again or select an existing cluster. Failure Reason: Error while creating the new cluster - Insufficient regional quota to satisfy request: resource "SSD_TOTAL_GB": request requires '300.0' and is short '300.0'. project has a quota of '500.0' with '0.0' available. View and manage quotas at https://console.cloud.google.com/iam-admin/quotas?usage=USED&project=qwiklabs-gcp-00-f16c04fc5d89.

wade a. · Revisado há over 1 year

Traceback (most recent call last): File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/container_builder/skaffold_cli.py", line 40, in __init__ stdout=subprocess.DEVNULL) File "/opt/conda/lib/python3.7/subprocess.py", line 512, in run output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['which', 'skaffold']' returned non-zero exit status 1. and, on the second try: Error encountered while creating a cluster. Please try again or select an existing cluster. Failure Reason: Error while creating the new cluster - Insufficient regional quota to satisfy request: resource "SSD_TOTAL_GB": request requires '300.0' and is short '300.0'. project has a quota of '500.0' with '0.0' available. View and manage quotas at https://console.cloud.google.com/iam-admin/quotas?usage=USED&project=qwiklabs-gcp-00-f16c04fc5d89.

wade a. · Revisado há over 1 year

cluster would not deploy successfully

Dylan B. · Revisado há over 1 year

Ashwani-Kumar S. · Revisado há over 1 year

Thanks

Dorjzodovsuren B. · Revisado há over 1 year

Nattaput K. · Revisado há over 1 year

Aamar H. · Revisado há over 1 year

จิตรภาณุ ช. · Revisado há over 1 year

Scott W. · Revisado há over 1 year

Traceback (most recent call last): File "/home/jupyter/.local/lib/python3.7/site-packages/tfx/tools/cli/container_builder/skaffold_cli.py", line 40, in __init__ stdout=subprocess.DEVNULL) File "/opt/conda/lib/python3.7/subprocess.py", line 512, in run output=stdout, stderr=stderr) subprocess.CalledProcessError: Command '['which', 'skaffold']' returned non-zero exit status 1.

wade a. · Revisado há over 1 year

unusable - can't get gke pipeline endpoint from ai platform

Sebastiano D. · Revisado há over 1 year