Andres Castillo

It may be useful to include a polynomial background remover in this library. The code that performs the polynomial fitting is available in ml-regression: https://github.com/mljs/regression/blob/master/src/regression/poly-fit-regression2d.js

parametrizedFunction constants

5

The parametrizedFunction must accept a constant. I.e. all the other parameters that does not need to be fitted function parametrizedFunction(params, constants) { }

Implement any initial approaching using a Newtons method

2

We should implement a globalization part. It could put the method close enough to the optimum before starting with the gradient descent method.

Should we implement ridge regression here?

1

Ridge regression is the most general algorithm for regression. It generalises all the regression methods implemented in this library as the problem of finding W such that the error e...

Would be nice to be able to directly add oclCode in JSME and SMILES too.

Problem with spectra having discontinuous domain

3

I have some spectra in .nmrium format with discontinuous x. When I full zoom out, it fill the gap with some points around the hole. If you zoom in around...