def decision_function(self, X):
return super(ELMClassifier, self).predict(X)<EOL>
This function return the decision function values related to each
class on an array of test vectors X.

Parameters
----------
X : array-like of shape [n_samples, n_features]

Returns
-------
C : array of shape [n_samples, n_classes] or [n_samples,]
    Decision function values related to each class, per sample.
    In the two-class case, the shape is [n_samples,]