(self, label_index, unlabel_index, batch_size=1, **kwargs)
Select a subset from the unlabeled set, return the selected instance and label.

        Parameters
        ----------
        label_index: {list, np.ndarray, MultiLabelIndexCollection}
            The indexes of labeled samples. It should be a 1d array of indexes (column major, start from 0) or
            MultiLabelIndexCollection or a list of tuples with 2 elements, in which,
            the 1st element is the index of instance and the 2nd element is the index of labels.

        unlabel_index: {list, np.ndarray, MultiLabelIndexCollection}
            The indexes of unlabeled samples. It should be a 1d array of indexes (column major, start from 0) or
            MultiLabelIndexCollection or a list of tuples with 2 elements, in which,
            the 1st element is the index of instance and the 2nd element is the index of labels.

        batch_size: int, optional (default=1)
            Selection batch size.
Select a subset from the unlabeled set, return the selected instance and label.
Select a subset from the unlabeled set return the selected instance and label .
def select(self, label_index, unlabel_index, batch_size=1, **kwargs):
        """Select a subset from the unlabeled set, return the selected instance and label.

        Parameters
        ----------
        label_index: {list, np.ndarray, MultiLabelIndexCollection}
            The indexes of labeled samples. It should be a 1d array of indexes (column major, start from 0) or
            MultiLabelIndexCollection or a list of tuples with 2 elements, in which,
            the 1st element is the index of instance and the 2nd element is the index of labels.

        unlabel_index: {list, np.ndarray, MultiLabelIndexCollection}
            The indexes of unlabeled samples. It should be a 1d array of indexes (column major, start from 0) or
            MultiLabelIndexCollection or a list of tuples with 2 elements, in which,
            the 1st element is the index of instance and the 2nd element is the index of labels.

        batch_size: int, optional (default=1)
            Selection batch size.
        """
def select ( self , label_index , unlabel_index , batch_size = 1 , * * kwargs ) :