Generalized Machine Learning - Kerneml - Simple ML to train Complex ML

I recently created a'particle optimizer' and published a pip python package called kernelml. The motivation for making this algorithm was to give analysts and data scientists a generalized machine learning algorithm for complex loss functions and non-linear coefficients. The optimizer uses a combination of simple machine learning and probabilistic simulations to search for optimal parameters using a loss function, input and output matrices, and (optionally) a random sampler. I am currently working more features and hope to eventually make the project open source. Lets take the problem of clustering longitude and latitude coordinates.