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xgboost

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StrikerRUS
StrikerRUS commented Oct 18, 2019

I'm sorry if I missed this functionality, but CLI version hasn't it for sure (I saw the related code only in generate_code_examples.py). I guess it will be very useful to eliminate copy-paste phase, especially for large models.

Of course, piping is a solution, but not for development in Jupyter Notebook, for example.

awesome-decision-tree-papers
talexander
talexander commented May 19, 2020

Deploy kfserving v0.3.0 and sample app

kubectl apply -f kfserving.v0.3.0.yaml
kubectl apply -f sklearn.yaml

I have k8s cluster with enabled PSP and ImagePullAlways plugin
https://kubernetes.io/docs/reference/access-authn-authz/admission-controllers/
After all kservice isn't working

kubectl describe replicaset.apps/sklearn-iris-predictor-default-x9v87-deployment-784dbd
awesome-gradient-boosting-papers

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