[MRG] 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
Maybe you could use an example file with a name such as plot_elm_diagram.py and the matplotlib API to draw the diagram.

For instance:

https://github.com/jakevdp/sklearn_pycon2014/blob/master/notebooks/fig_code/ML_flow_chart.py

This might also be helpful:

http://matplotlib.org/1.3.0/api/artist_api.html