Comments (2)
There's a brief mention in the IBM seving guide but we should expand on it.
from intro-to-ml-with-kubeflow-examples.
you don't train to it- you copy it over
from intro-to-ml-with-kubeflow-examples.
Related Issues (17)
- how to get serving endpoint URL for ch2 example? HOT 2
- where can I find the example code for seldon part of chapter 8?
- right issue with train_pipeline.py job (chap 2) HOT 3
- Chapter 2 - Example 2-11. Model query example
- Chapter 5 data extraction code does not work as Apache mailing list has changed its interface HOT 2
- Kubeflow installation method has changed since 1.3 HOT 1
- [Chapter 2] INTERNAL_ERROR on Run job.yaml | Failed state with this message: error: error when creating "/tmp/manifest.yaml
- [Chapter 2] kfserving-controller-manager-0 | ImagePullBackOff
- [Chapter 4] Error on run experiment RecommenderPipeline | The specified bucket does not exist HOT 1
- Consider telling folks that fast-start isn't all that fast
- Add the last line of the expected output of fast-start
- Add links to Argo and Kubeflow pipelines in README
- IBM web account creation instructions missing HOT 1
- Document that the auto redirect of JupyterHub doesn't seem to always work
- Use mnist validation or test set when querying the served model
- Factor out the Azure and IBM setup parts
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from intro-to-ml-with-kubeflow-examples.