[DEPRECATED] TFX on Cloud AI Platform Pipelines avis

Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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. · Examiné il y a presque 2 ans

Sathit P. · Examiné il y a presque 2 ans

Luis Fernando . · Examiné il y a presque 2 ans

Krishnan R. · Examiné il y a presque 2 ans

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · Examiné il y a presque 2 ans

Problem in the workbench based task

Darshan B. · Examiné il y a presque 2 ans

Mario H. · Examiné il y a presque 2 ans

Bowon P. · Examiné il y a presque 2 ans

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. · Examiné il y a presque 2 ans

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. · Examiné il y a presque 2 ans

cluster would not deploy successfully

Dylan B. · Examiné il y a presque 2 ans

Ashwani-Kumar S. · Examiné il y a presque 2 ans

Thanks

Dorjzodovsuren B. · Examiné il y a presque 2 ans

Nattaput K. · Examiné il y a presque 2 ans

Aamar H. · Examiné il y a presque 2 ans

จิตรภาณุ ช. · Examiné il y a presque 2 ans

Scott W. · Examiné il y a presque 2 ans

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. · Examiné il y a presque 2 ans

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

Sebastiano D. · Examiné il y a presque 2 ans

SAISEN U. · Examiné il y a presque 2 ans

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

John H. · Examiné il y a presque 2 ans

Prafful K. · Examiné il y a presque 2 ans

Beny A. · Examiné il y a presque 2 ans