关于“TFX on Cloud AI Platform Pipelines”的评价

Steps Deploy the pipeline package to AI Platform Pipelines & Create kubeflow pipeline run using TFX CLI were not recognized as completed, although they were done. In addition, AI Platform Pipelines is outdated and should be updated.

Mike A. · 评论about 2 years之前

Completed tasks 4 and 5 but cannot trigger a successful result from the "Check my progress" button

Hans F. · 评论about 2 years之前

Last two check are unsatisfiable, I created the pipeline and the pipeline run. This lab is needed to complete the Machine Learning Engineer learning path.

Csaba T. · 评论about 2 years之前

Susan F. · 评论about 2 years之前

Progress not checked even though all tasks successfully completed

Yasmine M. · 评论about 2 years之前

Gilles K. · 评论about 2 years之前

Rana B. · 评论about 2 years之前

IRFAN ULLAH K. · 评论about 2 years之前

Dat N. · 评论about 2 years之前

Dat N. · 评论about 2 years之前

CLINTAN CYRIL A. · 评论about 2 years之前

Dat N. · 评论about 2 years之前

greatfull

Fermin H. · 评论about 2 years之前

Completed tasks 4 and 5 but cannot trigger a successful result from the "Check my progress" button

Hans F. · 评论about 2 years之前

greatfull

Fermin H. · 评论about 2 years之前

Rana B. · 评论about 2 years之前

too long.. and hung

Sambasivam S. · 评论about 2 years之前

There is an error in step 5. I receive a successful message: 'Please access the pipeline detail page at http://5ee65fd8e995506b-dot-us-east1.pipelines.googleusercontent.com/#/pipelines/details/9c167397-3094-4360-92f5-a118782868f4 Pipeline "tfx_covertype_continuous_training222" created successfully.' and can see the pipeline in deployed AI Platform, but the lab wont confirm.

Chris T. · 评论about 2 years之前

not enough resources in united-states-a and no way to try others. Once started deploy fails after status running (deployment?). Not very clearly explained. No regrets for its deprecation

Giovanni M. · 评论about 2 years之前

Khalid D. · 评论about 2 years之前

Khalid D. · 评论about 2 years之前

Hans F. · 评论about 2 years之前

Dmytro T. · 评论about 2 years之前

SK F. · 评论about 2 years之前