关于“TFX on Cloud AI Platform Pipelines”的评价

Marie-Christine C. · 评论almost 2 years之前

outdated

Julian Cæsar A. · 评论almost 2 years之前

Utterly broken. As Freddie said, "You big disgrace"

Justin H. · 评论almost 2 years之前

Good lab, but ends with error: pusher fails, detailed here: RuntimeError: Creating model verseion to AI Platform failed: <HttpError 400 when requesting https://ml.googleapis.com/v1/projects/qwiklabs-gcp-02-7e6af6099753/models/tfx_covertype_classifier/versions?alt=json returned "Field: version.deployment_uri Error: Deployment URI contains paths with empty directory names; please remove them and try again. Value specified: gs://qwiklabs-gcp-02-7e6af6099753-kubeflowpipelines-default//tfx_covertype_continuous_training/e9751bb9-14c9-4e83-85f8-d872e4f24ab7/Pusher/pushed_model/11/". Details: "[{'@type': 'type.googleapis.com/google.rpc.BadRequest', 'fieldViolations': [{'field': 'version.deployment_uri', 'description': 'Deployment URI contains paths with empty directory names; please remove them and try again. Value specified: gs://qwiklabs-gcp-02-7e6af6099753-kubeflowpipelines-default//tfx_covertype_continuous_training/e9751bb9-14c9-4e83-85f8-d872e4f24ab7/Pusher/pushed_model/11/'}]}]"> time="2023-12-12T23:57:09.702Z" level=info msg="sub-process exited" argo=true error="<nil>" time="2023-12-12T23:57:09.703Z" level=error msg="cannot save artifact /mlpipeline-ui-metadata.json" argo=true error="stat /mlpipeline-ui-metadata.json: no such file or directory" Error: exit status 1

Antoni N. · 评论almost 2 years之前

20/60 final run does not see Creating a run for pipeline: {tfx_covertype_continuous_training} Use --engine flag if you intend to use a different orchestrator. Pipeline "{tfx_covertype_continuous_training}" does not exist. Appears that this is an issue for most students as of late. Credit for the labs would be great.

Benjamin C. · 评论almost 2 years之前

Adam H. · 评论almost 2 years之前

Nicolás C. · 评论almost 2 years之前

Адиль А. · 评论almost 2 years之前

Seitkazin B. · 评论almost 2 years之前

even if i try many times i am unable to deploy ml model i am getting a message like this (gcloud.container.clusters.get-credentials) ResponseError: code=401, message=Request had invalid authentication credentials. Expected OAuth 2 access token, login cookie or other valid authentication credential. See https://developers.google.com/identity/sign-in/web/devconsole-project.

Sanjana M. · 评论almost 2 years之前

Адиль А. · 评论almost 2 years之前

1AM20CS129 N. · 评论almost 2 years之前

Brondon W. · 评论almost 2 years之前

Gökhan A. · 评论almost 2 years之前

Tolik S. · 评论almost 2 years之前

2

Amanzhol E. · 评论almost 2 years之前

even if i try many times i am unable to deploy ml model i am getting a message like this (gcloud.container.clusters.get-credentials) ResponseError: code=401, message=Request had invalid authentication credentials. Expected OAuth 2 access token, login cookie or other valid authentication credential. See https://developers.google.com/identity/sign-in/web/devconsole-project.

Sanjana M. · 评论almost 2 years之前

Karthik J. · 评论almost 2 years之前

Sanjana M. · 评论almost 2 years之前

Lionel J. · 评论almost 2 years之前

Tomasz W. · 评论almost 2 years之前

5

Kerbez B. · 评论almost 2 years之前