This is a package with state of the art methods for Explainable AI for computer vision. This can be used for diagnosing model predictions, either in production or while developing models. The aim is ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

--adv_momentum None Momentum constant used to generate adversarial examples if given (float). --train_max_iter 1 Iterations performed to generate adversarial examples from train set. --test_max_iter 0 ...