Criar e implantar soluções de machine learning com a Vertex AI: laboratório com desafio avaliações
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    Criar e implantar soluções de machine learning com a Vertex AI: laboratório com desafio avaliações

    15534 avaliações

    Victoria M. · Revisado há 24 days

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

    Krzysztof W. · Revisado há 24 days

    Christopher L. · Revisado há 25 days

    재영 이. · Revisado há 25 days

    Phirawat J. · Revisado há 25 days

    Jenna F. · Revisado há 25 days

    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. · Revisado há 25 days

    Nathan L. · Revisado há 25 days

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

    Gabriel Z. · Revisado há 25 days

    pipeline failed

    Rawanna Mana Nawanna A. · Revisado há 25 days

    Isabella L. · Revisado há 25 days

    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. · Revisado há 25 days

    Abay M. · Revisado há 26 days

    Chethan A. · Revisado há 26 days

    errors in import instructions

    Christopher L. · Revisado há 26 days

    Abay M. · Revisado há 26 days

    Dependencies are outdated, please update the lab

    Rawanna Mana Nawanna A. · Revisado há 26 days

    Zing Zai L. · Revisado há 27 days

    Zing Zai L. · Revisado há 27 days

    Zing Zai L. · Revisado há 27 days

    Zing Zai L. · Revisado há 27 days

    Zing Zai L. · Revisado há 27 days

    libs used having incompatibility problem

    Douglas M. · Revisado há 27 days

    When running the "Import libraries" code - AttributeError: module 'shapely' has no attribute 'strtree'

    Oksana H. · Revisado há 27 days

    Cleiton F. · Revisado há 27 days

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