def test_inspect(self): x = np.array([(0, 1, 2), (2, 5, 6), (3, 2, 1)], dtype=[('a', np.float), ('b', np.float), ('c', np.float)]) y = {'y': np.array([1, 1, 0])} results = (x, y) prim_obj = prim.setup_prim(results, 'y', threshold=0.8) box = PrimBox(prim_obj, prim_obj.box_init, prim_obj.yi) new_box_lim = np.array([(0, 1, 1), (2, 5, 6)], dtype=[('a', np.float), ('b', np.float), ('c', np.float)]) indices = np.array([0, 1], dtype=np.int) box.update(new_box_lim, indices) box.inspect(1)
def test_inspect(self): x = np.array([(0,1,2), (2,5,6), (3,2,1)], dtype=[('a', np.float), ('b', np.float), ('c', np.float)]) y = {'y':np.array([1,1,0])} results = (x,y) prim_obj = prim.setup_prim(results, 'y', threshold=0.8) box = PrimBox(prim_obj, prim_obj.box_init, prim_obj.yi) new_box_lim = np.array([(0,1,1), (2,5,6)], dtype=[('a', np.float), ('b', np.float), ('c', np.float)]) indices = np.array([0,1], dtype=np.int) box.update(new_box_lim, indices) box.inspect(1)