TFX on Cloud AI Platform Pipelines recensioni

4235 recensioni

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 In addition, AI Platform Pipelines is outdated and should be updated.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. · Recensione inserita circa 2 anni fa

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

Hans F. · Recensione inserita circa 2 anni fa

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. · Recensione inserita circa 2 anni fa

Susan F. · Recensione inserita circa 2 anni fa

Progress not checked even though all tasks successfully completed

Yasmine M. · Recensione inserita circa 2 anni fa

Gilles K. · Recensione inserita circa 2 anni fa

Rana B. · Recensione inserita circa 2 anni fa

IRFAN ULLAH K. · Recensione inserita circa 2 anni fa

Dat N. · Recensione inserita circa 2 anni fa

Dat N. · Recensione inserita circa 2 anni fa

CLINTAN CYRIL A. · Recensione inserita circa 2 anni fa

Dat N. · Recensione inserita circa 2 anni fa

greatfull

Fermin H. · Recensione inserita circa 2 anni fa

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

Hans F. · Recensione inserita circa 2 anni fa

greatfull

Fermin H. · Recensione inserita circa 2 anni fa

Rana B. · Recensione inserita circa 2 anni fa

too long.. and hung

Sambasivam S. · Recensione inserita circa 2 anni fa

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. · Recensione inserita circa 2 anni fa

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. · Recensione inserita circa 2 anni fa

Khalid D. · Recensione inserita circa 2 anni fa

Khalid D. · Recensione inserita circa 2 anni fa

Hans F. · Recensione inserita circa 2 anni fa

Dmytro T. · Recensione inserita circa 2 anni fa

SK F. · Recensione inserita circa 2 anni fa

Non garantiamo che le recensioni pubblicate provengano da consumatori che hanno acquistato o utilizzato i prodotti. Le recensioni non sono verificate da Google.