actually extremely easy to actually compute the value of C given a set of trained training points and giving the affine mapping parameters no I won't left it just think of P is true for right now so it's all the ideally you will choose the P depending on particular for example the manifold dimension the ambient dimension week yeah let's talk about it at the break this is a date let's the data manifolds assume the training data or samples from some sub manifold in the in the ambient space because there are two factors that