Build and Deploy Machine Learning Solutions on Vertex AI: Challenge Lab Reviews
19896 reviews
The lab does not work: it keeps giving me AttributeError messages.
S. T. B. · Reviewed 12 ay ago
BINU P. · Reviewed 12 ay ago
Amit K. · Reviewed 12 ay 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 ay ago
AMANDEEP S. · Reviewed 12 ay ago
AMANDEEP S. · Reviewed 12 ay ago
Thiago V. · Reviewed 12 ay ago
Thiago V. · Reviewed 12 ay ago
The lab does not work: it keeps giving me AttributeError messages.
S. T. B. · Reviewed 12 ay ago
Thiago V. · Reviewed 12 ay ago
está com erro no final
Pietro M. · Reviewed 12 ay ago
Victoria M. · Reviewed 12 ay ago
The pipeline job fails even if you follow the instructions in the lab solution from github
Krzysztof W. · Reviewed 12 ay ago
Christopher L. · Reviewed 12 ay ago
재영 이. · Reviewed 12 ay ago
Phirawat J. · Reviewed 12 ay ago
Jenna F. · Reviewed 12 ay 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 ay ago
Nathan L. · Reviewed 12 ay ago
one of the imports was broken, had to find an uninstall reinstall help online
Gabriel Z. · Reviewed 12 ay ago
pipeline failed
Rawanna Mana Nawanna A. · Reviewed 12 ay ago
Isabella L. · Reviewed 12 ay 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 ay ago
Abay M. · Reviewed 12 ay ago
Chethan A. · Reviewed 12 ay ago
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