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
Agreed - but wouldn't that make `_init_param_validate_X_` a huge method? or is that alright in scikit-learn's convention?

Thanks for your suggestions btw :), `_init_param_validate_X_` made the code much cleaner as I am not repeating commands twice :)