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Opened SeldonIO/MLServer#1101 |
BenWilson2
reviewed
Apr 17, 2023
BenWilson2
reviewed
Apr 17, 2023
Signed-off-by: harupy <hkawamura0130@gmail.com>
Signed-off-by: harupy <hkawamura0130@gmail.com>
harupy
commented
Apr 19, 2023
| @@ -126,7 +126,7 @@ def _install_pyfunc_deps( | |||
| # dependency of mlflow on pip and we expect mlflow to be part of the environment. | |||
| server_deps = ["gunicorn[gevent]"] | |||
| if enable_mlserver: | |||
| server_deps = ["'mlserver>=1.2.0, <1.3'", "'mlserver-mlflow>=1.2.0, <1.3'"] | |||
| server_deps = ["'mlserver>=1.2.0,!=1.3.1'", "'mlserver-mlflow>=1.2.0,!=1.3.1'"] | |||
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Assuming 1.3.2 will contain the patch for SeldonIO/MLServer#1101
BenWilson2
approved these changes
Apr 19, 2023
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Related Issues/PRs
#xxxWhat changes are proposed in this pull request?
Unpin
mlserver. The latest version doesn't pin protobuf.https://pypi.org/project/mlserver/1.3.1/
How is this patch tested?
Does this PR change the documentation?
Release Notes
Is this a user-facing change?
(Details in 1-2 sentences. You can just refer to another PR with a description if this PR is part of a larger change.)
What component(s), interfaces, languages, and integrations does this PR affect?
Components
area/artifacts: Artifact stores and artifact loggingarea/build: Build and test infrastructure for MLflowarea/docs: MLflow documentation pagesarea/examples: Example codearea/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registryarea/models: MLmodel format, model serialization/deserialization, flavorsarea/recipes: Recipes, Recipe APIs, Recipe configs, Recipe Templatesarea/projects: MLproject format, project running backendsarea/scoring: MLflow Model server, model deployment tools, Spark UDFsarea/server-infra: MLflow Tracking server backendarea/tracking: Tracking Service, tracking client APIs, autologgingInterface
area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev serverarea/docker: Docker use across MLflow's components, such as MLflow Projects and MLflow Modelsarea/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registryarea/windows: Windows supportLanguage
language/r: R APIs and clientslanguage/java: Java APIs and clientslanguage/new: Proposals for new client languagesIntegrations
integrations/azure: Azure and Azure ML integrationsintegrations/sagemaker: SageMaker integrationsintegrations/databricks: Databricks integrationsHow should the PR be classified in the release notes? Choose one:
rn/breaking-change- The PR will be mentioned in the "Breaking Changes" sectionrn/none- No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" sectionrn/feature- A new user-facing feature worth mentioning in the release notesrn/bug-fix- A user-facing bug fix worth mentioning in the release notesrn/documentation- A user-facing documentation change worth mentioning in the release notes