Opiniones sobre TFX en Cloud AI Platform Pipelines

Manage to finish the lab. 2 stars as ai platforms is outdated now and the instructions aren't clear on deploying the pipeline.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. · Se revisó hace casi 2 años

Sathit P. · Se revisó hace casi 2 años

Luis Fernando . · Se revisó hace casi 2 años

Krishnan R. · Se revisó hace casi 2 años

Problem in the workbench based task & pipeline endpoint adding

Darshan B. · Se revisó hace casi 2 años

Problem in the workbench based task

Darshan B. · Se revisó hace casi 2 años

Mario H. · Se revisó hace casi 2 años

Bowon P. · Se revisó hace casi 2 años

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. · Se revisó hace casi 2 años

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. · Se revisó hace casi 2 años

cluster would not deploy successfully

Dylan B. · Se revisó hace casi 2 años

Ashwani-Kumar S. · Se revisó hace casi 2 años

Thanks

Dorjzodovsuren B. · Se revisó hace casi 2 años

Nattaput K. · Se revisó hace casi 2 años

Aamar H. · Se revisó hace casi 2 años

จิตรภาณุ ช. · Se revisó hace casi 2 años

Scott W. · Se revisó hace casi 2 años

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. · Se revisó hace casi 2 años

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

Sebastiano D. · Se revisó hace casi 2 años

SAISEN U. · Se revisó hace casi 2 años

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

John H. · Se revisó hace casi 2 años

Prafful K. · Se revisó hace casi 2 años

Beny A. · Se revisó hace casi 2 años