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

Amit K. · Reviewed over 1 year ago

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

Huy N. · Reviewed over 1 year ago

AMANDEEP S. · Reviewed over 1 year ago

AMANDEEP S. · Reviewed over 1 year ago

Thiago V. · Reviewed over 1 year ago

Thiago V. · Reviewed over 1 year ago

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

S. T. B. · Reviewed over 1 year ago

Thiago V. · Reviewed over 1 year ago

está com erro no final

Pietro M. · Reviewed over 1 year ago

Victoria M. · Reviewed over 1 year ago

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

Krzysztof W. · Reviewed over 1 year ago

Christopher L. · Reviewed over 1 year ago

재영 이. · Reviewed over 1 year ago

Phirawat J. · Reviewed over 1 year ago

Jenna F. · Reviewed over 1 year 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 over 1 year ago

Nathan L. · Reviewed over 1 year ago

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

Gabriel Z. · Reviewed over 1 year ago

pipeline failed

Rawanna Mana Nawanna A. · Reviewed over 1 year ago

Isabella L. · Reviewed over 1 year 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 over 1 year ago

Abay M. · Reviewed over 1 year ago

Chethan A. · Reviewed over 1 year ago

errors in import instructions

Christopher L. · Reviewed over 1 year ago

Abay M. · Reviewed over 1 year ago