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
It applies the inline activation function in place of `self._inline_activation`, which was an unneeded local parameter of `elm`
I will add a comment saying, "# apply the activation method in an inline manner"
>This looks like this kernel is not tested
It is the default kernel :) and it is ran in `test_elm`, unless you mean something else.
Thanks.