def _iter_indices(self):
for y_train, y_test in super(ShuffleLabelsOut, self)._iter_indices():
# these are the indices of classes in the partition
# invert them into data indices
train = np.flatnonzero(np.in1d(self.y_indices, y_train))
test = np.flatnonzero(np.in1d(self.y_indices, y_test))
yield train, test
ShuffleLabelsOut.py 文件源码
python
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