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

杉山 阿. · Reviewed почти 5 лет ago

Eric T. · Reviewed почти 5 лет ago

Yo H. · Reviewed около 5 лет ago

Morten P. · Reviewed около 5 лет ago

What a waste of time.

Daniel L. · Reviewed около 5 лет ago

Matthew J. · Reviewed около 5 лет ago

Everything except for the last task is perfect. During the last task "create pipeline runs", the creation of validation dataset using bigquery (BQ Eval Split) saying the dataset "kfp_tmp_dataset" already exists. The creation of training dataset worked fine. Here is the full tracing message: INFO:root:Fetching latest pod metadata: continuous-training-with-multiple-frameworks-79msd-114173538. INFO:root:Start KFP context with ID: 35f5c028ecdc2905e040a8daf55e22b3. INFO:root:Creating dataset kfp_tmp_dataset Traceback (most recent call last): File "/usr/local/lib/python2.7/runpy.py", line 174, in _run_module_as_main "__main__", fname, loader, pkg_name) File "/usr/local/lib/python2.7/runpy.py", line 72, in _run_code exec code in run_globals File "/ml/kfp_component/launcher/__main__.py", line 45, in <module> main() File "/ml/kfp_component/launcher/__main__.py", line 42, in main launch(args.file_or_module, args.args) File "kfp_component/launcher/launcher.py", line 45, in launch return fire.Fire(module, command=args, name=module.__name__) File "/usr/local/lib/python2.7/site-packages/fire/core.py", line 127, in Fire component_trace = _Fire(component, args, context, name) File "/usr/local/lib/python2.7/site-packages/fire/core.py", line 366, in _Fire component, remaining_args) File "/usr/local/lib/python2.7/site-packages/fire/core.py", line 542, in _CallCallable result = fn(*varargs, **kwargs) File "kfp_component/google/bigquery/_query.py", line 63, in query dataset_location) File "kfp_component/google/bigquery/_query.py", line 98, in _prepare_dataset_ref dataset = _create_dataset(client, dataset_ref, dataset_location) File "kfp_component/google/bigquery/_query.py", line 110, in _create_dataset return client.create_dataset(dataset) File "/usr/local/lib/python2.7/site-packages/google/cloud/bigquery/client.py", line 341, in create_dataset api_response = self._connection.api_request(method="POST", path=path, data=data) File "/usr/local/lib/python2.7/site-packages/google/cloud/_http.py", line 319, in api_request raise exceptions.from_http_response(response) google.api_core.exceptions.Conflict: 409 POST https://www.googleapis.com/bigquery/v2/projects/qwiklabs-gcp-01-ad03335814f1/datasets: Already Exists: Dataset qwiklabs-gcp-01-ad03335814f1:kfp_tmp_dataset

Maosi C. · Reviewed около 5 лет ago

Yuehao P. · Reviewed около 5 лет ago

Broken lab yet again, the pipeline creation from console didn't work properly due to the following error "ERROR: unable to pull gcr.io//kfp-dev:latest."

Wajeeh Ul H. · Reviewed около 5 лет ago

Saïd R. · Reviewed около 5 лет ago

Rakesh J. · Reviewed около 5 лет ago

Giuseppe R. · Reviewed около 5 лет ago

Aishwarya D. · Reviewed около 5 лет ago

gianpiero p. · Reviewed около 5 лет ago

Stuart M. · Reviewed около 5 лет ago

Esra D. · Reviewed около 5 лет ago

Claudio I. · Reviewed около 5 лет ago

Ivan N. · Reviewed около 5 лет ago

Yeseul Y. · Reviewed около 5 лет ago

Alejandro M. · Reviewed около 5 лет ago

Oussama B. · Reviewed около 5 лет ago

this did not work!!!!!!!!!!!!!!!

Antony S. · Reviewed около 5 лет ago

Yuntae H. · Reviewed около 5 лет ago

Romain B. · Reviewed около 5 лет ago

Surachart O. · Reviewed около 5 лет ago