GSoC 2014: Standard Extreme Learning Machines

Finished implementing the standard extreme learning machines (ELMs). I am getting the following results with 550 hidden neurons against the digits datasets,

Training accuracy using the logistic activation function: 0.999444
Training accuracy using the tanh activation function: 1.000000

Fortunately, this algorithm is much easier to implement and debug than multi-layer perceptron :).
I will push a test file soon.

@ogrisel , @larsmans
> > +classification_datasets = [(Xdigits_multi, ydigits_multi),
> > +                           (Xdigits_binary, ydigits_binary)]

> I would use a dictionnary to have a name for each dataset.

The problem is that then you have a random ordering; so I think that you
should not use a dictionnary.