Re: Gaussian process regression

From	Fabien <fabien.maussion@gmail.com>
Newsgroups	comp.lang.python
Subject	Re: Gaussian process regression
Date	2015-02-27 19:33 +0100
Organization	Aioe.org NNTP Server
Message-ID	<mcqd9r$5b5$1@speranza.aioe.org> (permalink)
References	<5d2cd3fd-9d63-4e79-af1c-965d50145801@googlegroups.com> <clbpc7F890iU1@mid.individual.net>

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On 27.02.2015 18:55, Peter Pearson wrote:
> On Thu, 26 Feb 2015 09:59:45 -0800 (PST),jaykim.huijae@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?

http://blog.gmane.org/gmane.comp.python.scikit-learn

Cheers,

Fabien

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Gaussian process regression jaykim.huijae@gmail.com - 2015-02-26 09:59 -0800
  Re: Gaussian process regression Peter Pearson <pkpearson@nowhere.invalid> - 2015-02-27 17:55 +0000
    Re: Gaussian process regression Fabien <fabien.maussion@gmail.com> - 2015-02-27 19:33 +0100

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