Gaussian process regression

[Peter Pearson]

On Thu, 26 Feb 2015 09:59:45 -0800 (PST), jaykim.huijae at gmail.com wrote:
>
> I am trying to use Gaussian process regression for Near Infrared
> spectra. I have reference data(spectra), concentrations of reference
> data and sample data, and I am trying to predict concentrations of
> sample data. Here is my code.

>
> from sklearn.gaussian_process import GaussianProcess
> gp = GaussianProcess()
> gp.fit(reference, concentration)
> concentration_pred = gp.predict(sample)
[snip]

I'm sorry you're not getting help from this normally very helpful group.
I'd guess that's because nobody here uses sklearn.  Where did you get
sklearn?  Is it possible that there's an sklearn forum somewhere?

I've seen many of this group's regular participants go to great lengths
to help people with specialized problems, but for one of those people
to help with your problem, he or she would have to find and install
sklearn and learn enough about it to generate data sets on which
to exercise the code you've provided.  That's a lot to ask.  Can
you lower the activation barrier?

-- 
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