sparse_lnocv.py 文件源码

def _mask_clip(self, row_or_col):
        ''' 
        Cuts out items from matrix that do not contain at least k values on axis=0
        '''
        mat = self.mat
        k = self.k
        lil = mat.tolil()
        to_remove = []
        for idx, i in enumerate(lil.rows):
            if len(i) < k:
                to_remove.append(idx)
        lil.rows = np.delete(lil.rows, to_remove)
        lil.data = np.delete(lil.data, to_remove)
        if row_or_col == 'row':
            self.row_idx = np.delete(range(lil.shape[0]), to_remove) 
        elif row_or_col == 'col':
            self.col_idx = np.delete(range(lil.shape[0]), to_remove)
        remaining = lil.shape[0] - len(to_remove)
        lil = lil[:remaining]
        self.mat = lil
        return self