Como criar e implantar soluções de machine learning na Vertex AI: laboratório com desafio avaliações
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Como criar e implantar soluções de machine learning na Vertex AI: laboratório com desafio avaliações

19896 avaliações

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

S. T. B. · Revisado há 12 months

BINU P. · Revisado há 12 months

Amit K. · Revisado há 12 months

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

Huy N. · Revisado há 12 months

AMANDEEP S. · Revisado há 12 months

AMANDEEP S. · Revisado há 12 months

Thiago V. · Revisado há 12 months

Thiago V. · Revisado há 12 months

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

S. T. B. · Revisado há 12 months

Thiago V. · Revisado há 12 months

está com erro no final

Pietro M. · Revisado há 12 months

Victoria M. · Revisado há 12 months

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

Krzysztof W. · Revisado há 12 months

Christopher L. · Revisado há 12 months

재영 이. · Revisado há 12 months

Phirawat J. · Revisado há 12 months

Jenna F. · Revisado há 12 months

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. · Revisado há 12 months

Nathan L. · Revisado há 12 months

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

Gabriel Z. · Revisado há 12 months

pipeline failed

Rawanna Mana Nawanna A. · Revisado há 12 months

Isabella L. · Revisado há 12 months

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. · Revisado há 12 months

Abay M. · Revisado há 12 months

Chethan A. · Revisado há 12 months

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