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

杉山 阿. · Reviewed almost 5 years ago

Eric T. · Reviewed almost 5 years ago

Yo H. · Reviewed almost 5 years ago

Morten P. · Reviewed almost 5 years ago

What a waste of time.

Daniel L. · Reviewed almost 5 years ago

Matthew J. · Reviewed almost 5 years 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 almost 5 years ago

Yuehao P. · Reviewed almost 5 years 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 almost 5 years ago

Saïd R. · Reviewed about 5 years ago

Rakesh J. · Reviewed about 5 years ago

Giuseppe R. · Reviewed about 5 years ago

Aishwarya D. · Reviewed about 5 years ago

gianpiero p. · Reviewed about 5 years ago

Stuart M. · Reviewed about 5 years ago

Esra D. · Reviewed about 5 years ago

Claudio I. · Reviewed about 5 years ago

Ivan N. · Reviewed about 5 years ago

Yeseul Y. · Reviewed about 5 years ago

Alejandro M. · Reviewed about 5 years ago

Oussama B. · Reviewed about 5 years ago

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

Antony S. · Reviewed about 5 years ago

Yuntae H. · Reviewed about 5 years ago

Romain B. · Reviewed about 5 years ago

Surachart O. · Reviewed about 5 years ago