关于“透過 Vertex AI 建構及部署機器學習解決方案：挑戰實驗室”的评价

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

S. T. B. · 评论12 months之前

BINU P. · 评论12 months之前

Amit K. · 评论12 months之前

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

Huy N. · 评论12 months之前

AMANDEEP S. · 评论12 months之前

AMANDEEP S. · 评论12 months之前

Thiago V. · 评论12 months之前

Thiago V. · 评论12 months之前

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

S. T. B. · 评论12 months之前

Thiago V. · 评论12 months之前

está com erro no final

Pietro M. · 评论12 months之前

Victoria M. · 评论12 months之前

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

Krzysztof W. · 评论12 months之前

Christopher L. · 评论12 months之前

재영 이. · 评论12 months之前

Phirawat J. · 评论12 months之前

Jenna F. · 评论12 months之前

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. · 评论12 months之前

Nathan L. · 评论12 months之前

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

Gabriel Z. · 评论12 months之前

pipeline failed

Rawanna Mana Nawanna A. · 评论12 months之前

Isabella L. · 评论12 months之前

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. · 评论12 months之前

Abay M. · 评论12 months之前

Chethan A. · 评论12 months之前