2013/12/5 Joel Nothman <[email protected]>:
> This is a frequent request, and hopefully we will soon find consensus on an
> API for it. Please see
> https://github.com/scikit-learn/scikit-learn/issues/1850 and offer any
> suggestions!
The trick for now is to define a custom scorer that returns the score
you're optimizing for and records the other scores somewhere else:
class FancyScorer(object):
def __call__(self, estimator, X, y):
pred = estimator.predict(X, y)
self.f1_score = f1_score(y, pred)
return accuracy_score(y, pred)
or something like that.
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