TFX on Cloud AI Platform Pipelines のレビュー

Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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.

Caley Asher · 2年弱前にレビュー済み

Prasomphan Sathit · 2年弱前にレビュー済み

Castillo Garcia Luis Fernando · 2年弱前にレビュー済み

Raghavan Krishnan · 2年弱前にレビュー済み

Problem in the workbench based task & pipeline endpoint adding

B Darshan · 2年弱前にレビュー済み

Problem in the workbench based task

B Darshan · 2年弱前にレビュー済み

Hernandez Mario · 2年弱前にレビュー済み

Puchmor Bowon · 2年弱前にレビュー済み

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.

arnold wade · 2年弱前にレビュー済み

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.

arnold wade · 2年弱前にレビュー済み

cluster would not deploy successfully

Bilodeau Dylan · 2年弱前にレビュー済み

Sadana Ashwani-Kumar · 2年弱前にレビュー済み

Thanks

Batjargal Dorjzodovsuren · 2年弱前にレビュー済み

Kuntakeaw Nattaput · 2年弱前にレビュー済み

Hussain Aamar · 2年弱前にレビュー済み

ชัยมงคล จิตรภาณุ · 2年弱前にレビュー済み

Waldenville Scott · 2年弱前にレビュー済み

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.

arnold wade · 2年弱前にレビュー済み

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

Dotti Sebastiano · 2年弱前にレビュー済み

UPPUNUTHULA SAISEN · 2年弱前にレビュー済み

tfx-on-googlecloud workbook wasn't created correctly by the lab. Had to restart in order for it to be created.

Hoff John · 2年弱前にレビュー済み

Katrapati Prafful · 2年弱前にレビュー済み

Achsan Beny · 2年弱前にレビュー済み