关于“在 Vertex AI 上构建和部署机器学习解决方案：实验室挑战赛”的评价

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

S. T. B. · 已于 12 months前审核

BINU P. · 已于 12 months前审核

Amit K. · 已于 12 months前审核

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

Huy N. · 已于 12 months前审核

AMANDEEP S. · 已于 12 months前审核

AMANDEEP S. · 已于 12 months前审核

Thiago V. · 已于 12 months前审核

Thiago V. · 已于 12 months前审核

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

S. T. B. · 已于 12 months前审核

Thiago V. · 已于 12 months前审核

está com erro no final

Pietro M. · 已于 12 months前审核

Victoria M. · 已于 12 months前审核

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

Krzysztof W. · 已于 12 months前审核

Christopher L. · 已于 12 months前审核

재영 이. · 已于 12 months前审核

Phirawat J. · 已于 12 months前审核

Jenna F. · 已于 12 months前审核

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()

Billy B. · 已于 12 months前审核

Nathan L. · 已于 12 months前审核

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

Gabriel Z. · 已于 12 months前审核

pipeline failed

Rawanna Mana Nawanna A. · 已于 12 months前审核

Isabella L. · 已于 12 months前审核

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

Rawanna Mana Nawanna A. · 已于 12 months前审核

Abay M. · 已于 12 months前审核

Chethan A. · 已于 12 months前审核