리뷰 Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab개
리뷰 15810개
Alex d. · 2개월 전에 리뷰됨
André L. · 2개월 전에 리뷰됨
go go go
Tiago F. · 2개월 전에 리뷰됨
ele é legal mais é muito demorado
Nati A. · 2개월 전에 리뷰됨
Devshree S. · 2개월 전에 리뷰됨
LEANDRO S. · 2개월 전에 리뷰됨
Devshree S. · 2개월 전에 리뷰됨
André L. · 2개월 전에 리뷰됨
Eddison L. · 2개월 전에 리뷰됨
Amelia T. · 2개월 전에 리뷰됨
The lab is not executing correctly
Eddison L. · 2개월 전에 리뷰됨
dung d. · 2개월 전에 리뷰됨
Tomás Eduardo P. · 2개월 전에 리뷰됨
Mariana A. · 2개월 전에 리뷰됨
Danilo L. · 2개월 전에 리뷰됨
V U. · 2개월 전에 리뷰됨
Claire T. · 2개월 전에 리뷰됨
Claire T. · 2개월 전에 리뷰됨
Harsh S. · 2개월 전에 리뷰됨
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. · 2개월 전에 리뷰됨
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. · 2개월 전에 리뷰됨
Szymon K. · 2개월 전에 리뷰됨
Szymon K. · 2개월 전에 리뷰됨
Oscar Felipe F. · 2개월 전에 리뷰됨
Bhushan K. · 2개월 전에 리뷰됨
Google은 게시된 리뷰가 제품을 구매 또는 사용한 소비자에 의해 작성되었음을 보증하지 않습니다. 리뷰는 Google의 인증을 거치지 않습니다.