PSO particle swarm pipeline with Node-red GUI control

Kubeflow pipeline inherently contains many laborious procedures to see AI training results. A PSO particle swarm algorithm is a useful algorithm applied to many industrial applications such multidimensional optimizations. We propose a PSO pipeline to be fused with popular AI algorithms such random forest, decision tree, etc, all via a Node-red GUI frontend. This application features energy optimization of a CNC machining scenario.
Node-red is an open source Graphical UI suite that features drag and drop node operations and customization. We are able to use kip server API to allow Node-red node to control the operation of the Kubeflow pipeline. Customized PSO/Random forest node will be constructed to allow easy and fast observation of the train results. Please let us know if this code set will be of use to you community and where we should do the PR to.

No repository files, tests, or concrete entry points are identified. First clarify the intended Kubeflow pipeline, Node-RED GUI, and KIP server API integration, including which PSO and machine-learning nodes are required. The issue does not define acceptance criteria or what a completed contribution should demonstrate.

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