本文整理汇总了Python中mvpa2.datasets.base.Dataset.fa["node_indices"]方法的典型用法代码示例。如果您正苦于以下问题：Python Dataset.fa["node_indices"]方法的具体用法？Python Dataset.fa["node_indices"]怎么用？Python Dataset.fa["node_indices"]使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类mvpa2.datasets.base.Dataset的用法示例。
在下文中一共展示了Dataset.fa["node_indices"]方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_niml_dset_stack
# 需要导入模块: from mvpa2.datasets.base import Dataset [as 别名]
# 或者: from mvpa2.datasets.base.Dataset import fa["node_indices"] [as 别名]
def test_niml_dset_stack(self):
values = map(lambda x: np.random.normal(size=x), [(10, 3), (10, 4), (10, 5)])
indices = [[0, 1, 2], [3, 2, 1, 0], None]
dsets = []
for v, i in zip(values, indices):
dset = Dataset(v)
if not i is None:
dset.fa["node_indices"] = i
dsets.append(dset)
dset = niml.hstack(dsets)
assert_equal(dset.nfeatures, 12)
assert_equal(dset.nsamples, 10)
indices = np.asarray([0, 1, 2, 6, 5, 4, 3, 7, 8, 9, 10, 11])
assert_array_equal(dset.fa["node_indices"], indices)
dset = niml.hstack(dsets, 10)
dset = niml.hstack(dsets, 10) # twice to ensure not overwriting
assert_equal(dset.nfeatures, 30)
indices = np.asarray(
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
13,
12,
11,
10,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
]
)
assert_array_equal(dset.fa["node_indices"], indices)
assert_true(np.all(dset[:, 4].samples == 0))
assert_array_equal(dset[:, 10:14].samples, dsets[1].samples)
# If not enough space it should raise an error
stacker = lambda x: niml.hstack(dsets, x)
assert_raises(ValueError, stacker, 2)
# If sparse then with no padding it should fail
dsets[0].fa.node_indices[0] = 3
assert_raises(ValueError, stacker, None)
# Using an illegal node index should raise an error
dsets[1].fa.node_indices[0] = 666
assert_raises(ValueError, stacker, 10)