关于“Continuous Training Pipelines with Cloud Composer”的评价

Spandiyar B. · 已于 almost 2 years前审核

Michael S. · 已于 almost 2 years前审核

nice

Mulpuru J. · 已于 almost 2 years前审核

Amanzhol E. · 已于 almost 2 years前审核

Adil B. · 已于 almost 2 years前审核

Ershon E. · 已于 almost 2 years前审核

Fernando A. · 已于 almost 2 years前审核

Paravind k. · 已于 almost 2 years前审核

Inkar O. · 已于 almost 2 years前审核

Ershon E. · 已于 almost 2 years前审核

nothing works. great job Google. Great.

Justin H. · 已于 almost 2 years前审核

Oliwer B. · 已于 almost 2 years前审核

ok

Gilang G. · 已于 almost 2 years前审核

Jacek R. · 已于 almost 2 years前审核

Javier d. · 已于 almost 2 years前审核

merna k. · 已于 almost 2 years前审核

Thillairam A. · 已于 almost 2 years前审核

There is an error "Broken DAG: [/home/airflow/gcs/dags/chicago_taxi_dag.py] invalid syntax (chicago_taxi_dag.py, line 440)". Thus, cannot complete task 4.

Jit Seah A. · 已于 almost 2 years前审核

Мерей С. · 已于 almost 2 years前审核

KULIT N. · 已于 almost 2 years前审核

Aizada S. · 已于 almost 2 years前审核

I ran the lab successfully, but the Google Cloud Shell Code Editor would not open, even after I unblocked 3rd-party windows in the browser. I think it has to do with limited permissions in Qwiklab. I had to do some work-arounds: copy text from the shell, edit it offline, then paste it where it needed to be.

Andrew H. · 已于 almost 2 years前审核

Mark K. · 已于 almost 2 years前审核

Shreya G. · 已于 almost 2 years前审核