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Re: Machine learning support

From: Alois Schloegl
Subject: Re: Machine learning support
Date: Sat, 30 Dec 2017 17:06:19 +0100
User-agent: Mozilla/5.0 (X11; Linux x86_64; rv:52.0) Gecko/20100101 Thunderbird/52.5.2

On 2017-12-28 16:08, Juan Pablo Carbajal wrote:
> Hi,
> I work on ML mainly using Python (scikitlearn, mltk, theano, etc) and
> Octave (gpml, stk, optim, etc). I stay away from R when possible. I
> also use C/C++ (Shogun, MLPack, etc...) which many times can provide
> an oct file interface.
> ML as a topic is too wide. You rather focus on one aspect of ML and
> write your package, examples are nnet, fuzzy, gpml.
> If your plan is to do ML on text, I would say that Octave is not the
> best choice, in this cas eI woudl stick to Python.
> Take a look at Julia language as well, there is plenty of packages
> already for that one.
> Cheers
> _______________________________________________
> Help-octave mailing list
> address@hidden

Hi Juan,

I recommend taking a look at the "NaN-toolbox - A statistics and machine
learning toolbox ..." [1].

It contains a number of machine learning methods. For more details see
the help functions of train_sc, test_sc, classify, and xval:


[1] The NaN-toolbox: A statistics and machine learning toolbox for
Octave and MatlabĀ® for data with and w/o MISSING VALUES encoded as NaN's.

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