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
PEP 257:

```python
def test_sparse_matrices():
    """Test model consistency on sparse and dense input data"""
    ...
```

If it does not fit on a single 79 columns line, then: one liner, blank line, paragraph with details.