Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab Reviews
Loading...
No results found.

    Build and Deploy Machine Learning Solutions with Vertex AI: Challenge Lab Reviews

    15719 reviews

    BINU P. · Reviewed about 1 month ago

    Amit K. · Reviewed about 1 month ago

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

    Huy N. · Reviewed about 1 month ago

    AMANDEEP S. · Reviewed about 1 month ago

    AMANDEEP S. · Reviewed about 1 month ago

    Thiago V. · Reviewed about 1 month ago

    Thiago V. · Reviewed about 1 month ago

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

    S. T. B. · Reviewed about 1 month ago

    Thiago V. · Reviewed about 1 month ago

    está com erro no final

    Pietro M. · Reviewed about 1 month ago

    Victoria M. · Reviewed about 1 month ago

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

    Krzysztof W. · Reviewed about 1 month ago

    Christopher L. · Reviewed about 1 month ago

    재영 이. · Reviewed about 1 month ago

    Phirawat J. · Reviewed about 1 month ago

    Jenna F. · Reviewed about 1 month 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 about 1 month ago

    Nathan L. · Reviewed about 1 month ago

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

    Gabriel Z. · Reviewed about 1 month ago

    pipeline failed

    Rawanna Mana Nawanna A. · Reviewed about 1 month ago

    Isabella L. · Reviewed about 1 month 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 about 1 month ago

    Abay M. · Reviewed about 1 month ago

    Chethan A. · Reviewed about 1 month ago

    errors in import instructions

    Christopher L. · Reviewed about 1 month ago

    We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.