Introduction - If you have any usage issues, please Google them yourself
Mariana is an algorithm that efficiently optimizes the hyperparameters for Support Vector Machines for regression and classification. It currently uses Simulated Annealing for optimization but can be extended to use a variety of stochastic optimization techniques including, Markov Chain Monte Carlo, Sequential Monte Carlo, and Genetic Algorithms. Mariana can be applied to the text portion of reports, determining the likely categories that each report falls into, and calculating a confidence for each classification.