Build and Deploy Machine Learning Solutions on Vertex AI: Challenge Lab recensioni

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

S. T. B. · Recensione inserita 12 mesi fa

BINU P. · Recensione inserita 12 mesi fa

Amit K. · Recensione inserita 12 mesi fa

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

Huy N. · Recensione inserita 12 mesi fa

AMANDEEP S. · Recensione inserita 12 mesi fa

AMANDEEP S. · Recensione inserita 12 mesi fa

Thiago V. · Recensione inserita 12 mesi fa

Thiago V. · Recensione inserita 12 mesi fa

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

S. T. B. · Recensione inserita 12 mesi fa

Thiago V. · Recensione inserita 12 mesi fa

está com erro no final

Pietro M. · Recensione inserita 12 mesi fa

Victoria M. · Recensione inserita 12 mesi fa

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

Krzysztof W. · Recensione inserita 12 mesi fa

Christopher L. · Recensione inserita 12 mesi fa

재영 이. · Recensione inserita 12 mesi fa

Phirawat J. · Recensione inserita 12 mesi fa

Jenna F. · Recensione inserita 12 mesi fa

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. · Recensione inserita 12 mesi fa

Nathan L. · Recensione inserita 12 mesi fa

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

Gabriel Z. · Recensione inserita 12 mesi fa

pipeline failed

Rawanna Mana Nawanna A. · Recensione inserita 12 mesi fa

Isabella L. · Recensione inserita 12 mesi fa

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. · Recensione inserita 12 mesi fa

Abay M. · Recensione inserita 12 mesi fa

Chethan A. · Recensione inserita 12 mesi fa