Vertex AI での ML ソリューションの構築とデプロイ: チャレンジラボ のレビュー

The lab does not work: it keeps giving me AttributeError messages.

Bach S. T. · 12ヶ月前にレビュー済み

PRABHAKARAN BINU · 12ヶ月前にレビュー済み

Kumar Amit · 12ヶ月前にレビュー済み

Huge waiting time. Eg: Task 5 takes ~1hr wait time to completed. Should be make smaller dataset for a lab.

Ngo Huy · 12ヶ月前にレビュー済み

SINGH AMANDEEP · 12ヶ月前にレビュー済み

SINGH AMANDEEP · 12ヶ月前にレビュー済み

Vieira Thiago · 12ヶ月前にレビュー済み

Vieira Thiago · 12ヶ月前にレビュー済み

The lab does not work: it keeps giving me AttributeError messages.

Bach S. T. · 12ヶ月前にレビュー済み

Vieira Thiago · 12ヶ月前にレビュー済み

está com erro no final

Moreira Pietro · 12ヶ月前にレビュー済み

Makovska Victoria · 12ヶ月前にレビュー済み

The pipeline job fails even if you follow the instructions in the lab solution from github

Wojdat Krzysztof · 12ヶ月前にレビュー済み

Layno Christopher · 12ヶ月前にレビュー済み

이 재영 · 12ヶ月前にレビュー済み

Jeerapiwat Phirawat · 12ヶ月前にレビュー済み

Fu Jenna · 12ヶ月前にレビュー済み

pretty bad, getting so many errors --------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) Cell In[54], line 1 ----> 1 vertex_pipelines_job.run() File ~/.local/lib/python3.10/site-packages/google/cloud/aiplatform/pipeline_jobs.py:314, in PipelineJob.run(self, service_account, network, sync, create_request_timeout) 295 """Run this configured PipelineJob and monitor the job until completion. 296 297 Args: (...) 310 Optional. The timeout for the create request in seconds. 311 """ 312 network = network or initializer.global_config.network --> 314 self._run( 315 service_account=service_account, 316 network=network, 317 sync=sync, 318 create_request_timeout=create_request_timeout, 319 ) File ~/.local/lib/python3.10/site-packages/google/cloud/aiplatform/base.py:810, in optional_sync.<locals>.optional_run_in_thread.<locals>.wrapper(*args, **kwargs) 808 if self: 809 VertexAiResourceNounWithFutureManager.wait(self) --> 810 return method(*args, **kwargs) 812 # callbacks to call within the Future (in same Thread) 813 internal_callbacks = [] File ~/.local/lib/python3.10/site-packages/google/cloud/aiplatform/pipeline_jobs.py:351, in PipelineJob._run(self, service_account, network, sync, create_request_timeout) 329 """Helper method to ensure network synchronization and to run 330 the configured PipelineJob and monitor the job until completion. 331 (...) 343 Optional. The timeout for the create request in seconds. 344 """ 345 self.submit( 346 service_account=service_account, 347 network=network, 348 create_request_timeout=create_request_timeout, 349 ) --> 351 self._block_until_complete()

Bao Billy · 12ヶ月前にレビュー済み

Lammers Nathan · 12ヶ月前にレビュー済み

one of the imports was broken, had to find an uninstall reinstall help online

Zingle Gabriel · 12ヶ月前にレビュー済み

pipeline failed

Anushka Chathuranga Rawanna Mana Nawanna · 12ヶ月前にレビュー済み

Lopes Isabella · 12ヶ月前にレビュー済み

time is not enough to read and understand Notebook markdown cells, read documentation, fill todo tasks. Model training locally and model training and deploy in pipeline takes more than hour. Atleast extend the time to 2.5 hours

Anushka Chathuranga Rawanna Mana Nawanna · 12ヶ月前にレビュー済み

Maral Abay · 12ヶ月前にレビュー済み

Anandaramaiah Chethan · 12ヶ月前にレビュー済み