Custom Initializations

[eweine]

Thanks for the great package!

Do you think you could add a feature for RcppML::nmf where I could initialize the values of w, d, and h myself?

Thanks,

Eric.

[zdebruine]

Feature request noted, on the list for when I get back into maintaining the package.

In the meantime, you could always create an NMF model class with your own initialization, and then use the predict function to alternately update w and h until stopping criteria are satisfied.

Unless you are providing a pre-trained model of sorts as an initialization, it is rarely advisable to use a non-random initialization. If you're trying to improve on the base random initialization, I'd be curious to hear what you're doing, but I have not found any distribution or normalization algorithm that consistently improves the loss of solutions over what is currently in place.

-Zach