def fit(self, x, y, history):
self._svm = IncrementalMultiSVM(
dtype=x.dtype,
n_features=x.shape[1],
n_classes=2,
l2_regularization=self.l2_regularization,
n_sgd_iters=0,
bfgs_kwargs={
'maxfun': 1000,
'iprint': 0,
'm': 32,
'factr': 100
},
)
self._svm.fit(x, (y + 1) / 2, history)
