Créer et déployer des solutions de machine learning sur Vertex AI : atelier challenge avis

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

S. T. B. · Examiné il y a 12 mois

BINU P. · Examiné il y a 12 mois

Amit K. · Examiné il y a 12 mois

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

Huy N. · Examiné il y a 12 mois

AMANDEEP S. · Examiné il y a 12 mois

AMANDEEP S. · Examiné il y a 12 mois

Thiago V. · Examiné il y a 12 mois

Thiago V. · Examiné il y a 12 mois

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

S. T. B. · Examiné il y a 12 mois

Thiago V. · Examiné il y a 12 mois

está com erro no final

Pietro M. · Examiné il y a 12 mois

Victoria M. · Examiné il y a 12 mois

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

Krzysztof W. · Examiné il y a 12 mois

Christopher L. · Examiné il y a 12 mois

재영 이. · Examiné il y a 12 mois

Phirawat J. · Examiné il y a 12 mois

Jenna F. · Examiné il y a 12 mois

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. · Examiné il y a 12 mois

Nathan L. · Examiné il y a 12 mois

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

Gabriel Z. · Examiné il y a 12 mois

pipeline failed

Rawanna Mana Nawanna A. · Examiné il y a 12 mois

Isabella L. · Examiné il y a 12 mois

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. · Examiné il y a 12 mois

Abay M. · Examiné il y a 12 mois

Chethan A. · Examiné il y a 12 mois