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

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

S. T. B. · Reviewed 12 месяцев ago

BINU P. · Reviewed 12 месяцев ago

Amit K. · Reviewed 12 месяцев ago

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

Huy N. · Reviewed 12 месяцев ago

AMANDEEP S. · Reviewed 12 месяцев ago

AMANDEEP S. · Reviewed 12 месяцев ago

Thiago V. · Reviewed 12 месяцев ago

Thiago V. · Reviewed 12 месяцев ago

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

S. T. B. · Reviewed 12 месяцев ago

Thiago V. · Reviewed 12 месяцев ago

está com erro no final

Pietro M. · Reviewed 12 месяцев ago

Victoria M. · Reviewed 12 месяцев ago

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

Krzysztof W. · Reviewed 12 месяцев ago

Christopher L. · Reviewed 12 месяцев ago

재영 이. · Reviewed 12 месяцев ago

Phirawat J. · Reviewed 12 месяцев ago

Jenna F. · Reviewed 12 месяцев ago

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. · Reviewed 12 месяцев ago

Nathan L. · Reviewed 12 месяцев ago

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

Gabriel Z. · Reviewed 12 месяцев ago

pipeline failed

Rawanna Mana Nawanna A. · Reviewed 12 месяцев ago

Isabella L. · Reviewed 12 месяцев ago

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. · Reviewed 12 месяцев ago

Abay M. · Reviewed 12 месяцев ago

Chethan A. · Reviewed 12 месяцев ago