[scikit-learn] numpy integration with random forrest implementation

[Jacob Schreiber]

I don't understand what you mean. Does each sample have a fixed number of
features or not?

On Sat, Jan 21, 2017 at 9:35 AM, Carlton Banks <noflaco at gmail.com> wrote:

> Thanks for the response!
>
> If you see it in 1d then yes…. it has variable length. In 2d will the
> number of columns always be constant both for the input and output.
>
> Den 21. jan. 2017 kl. 18.25 skrev Jacob Schreiber <jmschreiber91 at gmail.com
> >:
>
> If what you're saying is that you have a variable length input, then most
> sklearn classifiers won't work on this data. They expect a fixed feature
> set. Perhaps you could try extracting a set of informative features being
> fed into the classifier?
>
> On Sat, Jan 21, 2017 at 3:18 AM, Carlton Banks <noflaco at gmail.com> wrote:
>
>> Hi guys..
>>
>> I am currently working on a ASR project  in which the objective is to
>> substitute part of the general ASR framework with some form of neural
>> network, to see whether the tested part improves in any way.
>>
>> I started working with the feature extraction and tried, to make a neural
>> network (NN) that could create MFCC features. I already know what the
>> desired output is supposed to be, so the problem boils down to a simple
>> input -  output mapping. Problem here is the my NN doesn’t seem to
>> perform that well..  and i seem to get pretty large error for some reason.
>>
>> I therefore wanted to give random forrest a try, and see whether it could
>> provide me a better result.
>>
>> I am currently storing my input and output in numpy.ndarrays, in which
>> the input and output columns is consistent throughout all the examples, but
>> the number of rows changes
>> depending on length of the audio file.
>>
>> Is it possible with the random forrest implementation in scikit-learn to
>> train a random forrest to map an input an output, given they are stored
>> numpy.ndarrays?
>> Or do i have do it in a different way? and if so how?
>>
>> kind regards
>>
>> Carl truz
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>
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