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
This ring a bell in my head. A state based initialisation might be problematic.

What happens if you 
1. perform fit with standard
2. set_params(algorithm="recursive_lsqr")
3. perform a partial fit
?