Different kernels for KCI implementation

[nataliaglazman]

Hi, I am using FCI with KCI testing for my dataset. I have some one-hot encoded variables and some continuous variables. As far as I know, using a Gaussian kernel for testing between categorical and continuous variables is not recommended. Would it be useful to write an implementation of different kernels specifically for categorical variables and maybe even enable selection of different kernel combinations for one dataset?