xgboost
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Support Series.median()
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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.
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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
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Create gifs with folder structure after AutoML training and add them to the Readme
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Currently, the C++ compiler generates lots of warnings: https://xgboost-ci.net/blue/organizations/jenkins/xgboost/detail/master/516/pipeline/61. It would be great to reduce the number of warnings.
Note to new contributors: Post a comment here if you'd like to work on this issue. Feel free to ping me for help.