MLServer
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An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Bumps [scikit-learn](https://github.com/scikit-learn/scikit-learn) from 1.5.0 to 1.5.1. Release notes Sourced from scikit-learn's releases. Scikit-learn 1.5.1 We're happy to announce the 1.5.1 release. This release contains fixes for a few regressions introduced...
Bumps [certifi](https://github.com/certifi/python-certifi) from 2024.6.2 to 2024.7.4. Commits bd81538 2024.07.04 (#295) 06a2cbf Bump peter-evans/create-pull-request from 6.0.5 to 6.1.0 (#294) 13bba02 Bump actions/checkout from 4.1.6 to 4.1.7 (#293) e8abcd0 Bump pypa/gh-action-pypi-publish from...
Bumps [torch](https://github.com/pytorch/pytorch) from 2.2.2 to 2.3.1. Release notes Sourced from torch's releases. PyTorch 2.3.1 Release, bug fix release This release is meant to fix the following issues (regressions / silent...
Bumps [certifi](https://github.com/certifi/python-certifi) from 2024.6.2 to 2024.7.4. Commits bd81538 2024.07.04 (#295) 06a2cbf Bump peter-evans/create-pull-request from 6.0.5 to 6.1.0 (#294) 13bba02 Bump actions/checkout from 4.1.6 to 4.1.7 (#293) e8abcd0 Bump pypa/gh-action-pypi-publish from...
My DataFrame has a column with `list` type, but the value is `None`, when I use: ``` tools: list = None df=pd.Series( [ tools ], index=[ "tools" ], ) PandasCodec.encode_request(df,...
Bumps [certifi](https://github.com/certifi/python-certifi) from 2024.6.2 to 2024.7.4. Commits bd81538 2024.07.04 (#295) 06a2cbf Bump peter-evans/create-pull-request from 6.0.5 to 6.1.0 (#294) 13bba02 Bump actions/checkout from 4.1.6 to 4.1.7 (#293) e8abcd0 Bump pypa/gh-action-pypi-publish from...
Bumps [certifi](https://github.com/certifi/python-certifi) from 2024.6.2 to 2024.7.4. Commits bd81538 2024.07.04 (#295) 06a2cbf Bump peter-evans/create-pull-request from 6.0.5 to 6.1.0 (#294) 13bba02 Bump actions/checkout from 4.1.6 to 4.1.7 (#293) e8abcd0 Bump pypa/gh-action-pypi-publish from...
Hi, I am receiving the following warning on my custom model: "**WARNING: Adaptive Batching is enabled for model 'models' but not supported for inference streaming. Falling back to non-batched inference...
# Pull Request Fixes SeldonIO/MLServer#1660 ## Description The parameters sent over REST to the mlserver are not forwarded to the predict function of the model. This PR fixes that issue....
Is there any plan to add support for Python 3.12? It was released over a year ago and many projects are already making use of it