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

    15800 avaliações

    Lab is not activating

    Eddison L. · Revisado há about 2 months

    強制終了が多すぎる

    ノノノ G. · Revisado há about 2 months

    Padmaja Sai R. · Revisado há about 2 months

    ainda com erro na ultima tarefa - não foi consertado

    fernando r. · Revisado há about 2 months

    Padmaja Sai R. · Revisado há about 2 months

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

    S. T. B. · Revisado há about 2 months

    BINU P. · Revisado há about 2 months

    Amit K. · Revisado há about 2 months

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

    Huy N. · Revisado há about 2 months

    AMANDEEP S. · Revisado há about 2 months

    AMANDEEP S. · Revisado há about 2 months

    Thiago V. · Revisado há about 2 months

    Thiago V. · Revisado há about 2 months

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

    S. T. B. · Revisado há about 2 months

    Thiago V. · Revisado há about 2 months

    está com erro no final

    Pietro M. · Revisado há about 2 months

    Victoria M. · Revisado há about 2 months

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

    Krzysztof W. · Revisado há about 2 months

    Christopher L. · Revisado há about 2 months

    재영 이. · Revisado há about 2 months

    Phirawat J. · Revisado há about 2 months

    Jenna F. · Revisado há about 2 months

    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 about 2 months

    Nathan L. · Revisado há about 2 months

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

    Gabriel Z. · Revisado há about 2 months

    Não garantimos que as avaliações publicadas sejam de consumidores que compraram ou usaram os produtos. As avaliações não são verificadas pelo Google.