learn then transform?

[Fil]

If I understand correctly, the current approach learns and transforms at the same time. As a consequence you can't learn on a subset (train set), then transform the whole dataset. It would be nice to be able to train a model then apply it to incoming data.

(It's something that is very easy with some algorithms (PCA), but more difficult with others.)

[saehm]

It is not possible for most of the techniques. As far as i know, for the implemented algorithms it is only possible for PCA. I wanted to keep the API as consistent as possible, therefore i didn't added it.