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

杉山 阿. · Sprawdzono prawie 5 lat temu

Eric T. · Sprawdzono prawie 5 lat temu

Yo H. · Sprawdzono prawie 5 lat temu

Morten P. · Sprawdzono prawie 5 lat temu

What a waste of time.

Daniel L. · Sprawdzono około 5 lat temu

Matthew J. · Sprawdzono około 5 lat temu

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. · Sprawdzono około 5 lat temu

Yuehao P. · Sprawdzono około 5 lat temu

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. · Sprawdzono około 5 lat temu

Saïd R. · Sprawdzono około 5 lat temu

Rakesh J. · Sprawdzono około 5 lat temu

Giuseppe R. · Sprawdzono około 5 lat temu

Aishwarya D. · Sprawdzono około 5 lat temu

gianpiero p. · Sprawdzono około 5 lat temu

Stuart M. · Sprawdzono około 5 lat temu

Esra D. · Sprawdzono około 5 lat temu

Claudio I. · Sprawdzono około 5 lat temu

Ivan N. · Sprawdzono około 5 lat temu

Yeseul Y. · Sprawdzono około 5 lat temu

Alejandro M. · Sprawdzono około 5 lat temu

Oussama B. · Sprawdzono około 5 lat temu

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

Antony S. · Sprawdzono około 5 lat temu

Yuntae H. · Sprawdzono około 5 lat temu

Romain B. · Sprawdzono około 5 lat temu

Surachart O. · Sprawdzono około 5 lat temu