https://pypi.org/project/model-store-interface/ Recent updates to the Python Package Index for model-store-interface en https://pypi.org/project/model-store-interface/0.5.0/ This package contains the core components and protocols for creating, managing, and registering federated learning models using MLflow. It provides utilities for defining local learners, aggregation strategies, and integrating them with MLflow for tracking and deployment. alessandro.ceresi@upm.es Thu, 24 Apr 2025 12:57:58 GMT https://pypi.org/project/model-store-interface/0.4.0/ This package contains the core components and protocols for creating, managing, and registering federated learning models using MLflow. It provides utilities for defining local learners, aggregation strategies, and integrating them with MLflow for tracking and deployment. alessandro.ceresi@upm.es Thu, 24 Apr 2025 12:48:42 GMT https://pypi.org/project/model-store-interface/0.3.0/ This package contains the core components and protocols for creating, managing, and registering federated learning models using MLflow. It provides utilities for defining local learners, aggregation strategies, and integrating them with MLflow for tracking and deployment. alessandro.ceresi@upm.es Tue, 18 Feb 2025 14:17:30 GMT https://pypi.org/project/model-store-interface/0.2.0/ This package contains the core components and protocols for creating, managing, and registering federated learning models using MLflow. It provides utilities for defining local learners, aggregation strategies, and integrating them with MLflow for tracking and deployment. alessandro.ceresi@upm.es Fri, 14 Feb 2025 12:02:11 GMT https://pypi.org/project/model-store-interface/0.1.1/ This package contains the core components and protocols for creating, managing, and registering federated learning models using MLflow. It provides utilities for defining local learners, aggregation strategies, and integrating them with MLflow for tracking and deployment. alessandro.ceresi@upm.es Fri, 14 Feb 2025 10:42:37 GMT