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GitHub / ray-project/mlflow-ray-serve issues and pull requests

#11 - [FR] Compatibility with MLflow 2.0

Issue - State: open - Opened by dbczumar about 2 years ago - 5 comments
Labels: good first issue

#10 - Issue retrieving model from ray -- Permission denied

Issue - State: closed - Opened by rajesh-chawla over 2 years ago - 4 comments

#9 - Make compatible with Serve Deployments API

Pull Request - State: closed - Opened by architkulkarni about 3 years ago

#8 - support URI, redis password and namespace on ray.init(...)

Issue - State: open - Opened by gorbondiga over 3 years ago

#7 - feat(http): expose mlflow models as http services

Pull Request - State: closed - Opened by frascuchon over 3 years ago - 1 comment

#6 - Exposed http endpoint cannot resolve predictions

Issue - State: closed - Opened by frascuchon over 3 years ago

#5 - Question: deploy model out of cluster machines

Issue - State: open - Opened by frascuchon over 3 years ago - 1 comment

#4 - Feature/configurable ray head address for remote deployments

Pull Request - State: closed - Opened by frascuchon over 3 years ago

#3 - Feature/deployment at endpoint level

Pull Request - State: open - Opened by frascuchon over 3 years ago

#2 - Batching, splitting and shadow traffic

Issue - State: open - Opened by oleg-savko over 3 years ago - 1 comment

#1 - Resource Management (CPUs, GPUs) not supported

Issue - State: open - Opened by architkulkarni almost 4 years ago