example-seldon
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kubeflow
Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core
Hello, due to inactiveness of this repository, we are planning to archive this repo on Nov 30th, you can learn more at https://github.com/kubeflow/community/issues/479#issuecomment-855805631. If you have any concern, feel free...
I tried to deploy the seldon on GCP after changing the env.sh file & running create_demo.sh. Got below error while deployig on GCP: ERROR: (gcloud.deployment-manager.deployments.create) Error in Operation [operation-1608701216204-5b71af08aa508-44ff7cbc-8fd80a7f]: errors:...
As with https://github.com/kubeflow/pipelines/issues/2615 but here there's instances of v1alpha1
I deployed a keras mnist model using seldon core and I'm trying to monitor the model using seldon-core-analytics with grafana dashaboards. The cluster_monitoring dashboard looks fine but the Prediction Analytics...
in `notebooks/utils.py` importing modules: `from proto import prediction_pb2` `from proto import prediction_pb2_grpc`
@cliveseldon Calling predict on a deployment that returned sucess fails with a connection error. Attempting to debug this reveals that .status is missing from seldondeployment. Sugestions for how to debug...
Hello, Can seldon-core be setup without using GCloud ? I mean, can I have the NFS set on the VM itself ? Please share your inputs. Thanks in advance.
So users don't need to provide Docker credentials.
Should clarify if this binding is inside kubeflow ksonnet pkg. If not add it there if still needed.