[DEPRECATED] Continuous Training with TensorFlow, PyTorch, XGBoost, and Scikit Learn Models with Kubeflow and AI Platform Pipelines Reviews

2101 reviews

Vaibhav S. · Reviewed almost 4 years ago

Charles V. · Reviewed almost 4 years ago

Mahsut D. · Reviewed almost 4 years ago

Anton R. · Reviewed almost 4 years ago

Hussein S. · Reviewed almost 4 years ago

Abdesselem R. · Reviewed almost 4 years ago

This is the second attempt I took after I called support since I thought there was a bug. They took care of it and now the labs run perfectly. Thank you very much!

Jorge C. · Reviewed almost 4 years ago

Finally worked after 3 attempts

Ron S. · Reviewed almost 4 years ago

Bart M. · Reviewed almost 4 years ago

Manoj K. · Reviewed almost 4 years ago

Alchemical R. · Reviewed almost 4 years ago

Fabian E. · Reviewed almost 4 years ago

Instructions were great, but the pipeline run kept failing due to this error: File "/usr/local/lib/python2.7/site-packages/google/api_core/retry.py", line 273, in retry_wrapped_func on_error=on_error, Yall need a community support or help section

Ron S. · Reviewed almost 4 years ago

Adish B. · Reviewed almost 4 years ago

Kartik Varma D. · Reviewed almost 4 years ago

Cant create an instance of AI platform pipelines

Shelvia A. · Reviewed almost 4 years ago

Mohammed Y. · Reviewed almost 4 years ago

Paul B. · Reviewed almost 4 years ago

Cedric Y. · Reviewed almost 4 years ago

Pipeline failed because tensorflow failed to execute. All the models appeared to have dependency conflicts. ~dependency conflicts. phik 0.12.0 requires scipy>=1.5.2, but you have scipy 1.4.1 which is incompatible. pandas-profiling 3.0.0 requires tangled-up-in-unicode==0.1.0, but you have tangled-up-in-unicode 0.2.0 which is incompatible.

Tony R. · Reviewed almost 4 years ago

had to swap """ to " in the validation query for the pipeline to not fail its run

Quinton G. · Reviewed almost 4 years ago

I followed all the instructions but didn't manage to make it work. The libraries used on the notebooks are not installed (I installed them by running the pip command). Later, the notebook failed when compiling the pipeline giving me the following error : "AttributeError: type object 'V1Container' has no attribute 'swagger_types'"

Jorge C. · Reviewed almost 4 years ago

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