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Python Dataset.get_mapped方法代码示例

本文整理汇总了Python中mvpa2.datasets.Dataset.get_mapped方法的典型用法代码示例。如果您正苦于以下问题:Python Dataset.get_mapped方法的具体用法?Python Dataset.get_mapped怎么用?Python Dataset.get_mapped使用的例子?那么, 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mvpa2.datasets.Dataset的用法示例。


在下文中一共展示了Dataset.get_mapped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_datasetmapping

# 需要导入模块: from mvpa2.datasets import Dataset [as 别名]
# 或者: from mvpa2.datasets.Dataset import get_mapped [as 别名]
def test_datasetmapping():
    # 6 samples, 4X2 features
    data = np.arange(48).reshape(6,4,2)
    ds = Dataset(data,
                 sa={'timepoints': np.arange(6),
                     'multidim': data.copy()},
                 fa={'fid': np.arange(4)})
    # with overlapping and non-overlapping boxcars
    startpoints = [0, 1, 4]
    boxlength = 2
    bm = BoxcarMapper(startpoints, boxlength, space='boxy')
    # train is critical
    bm.train(ds)
    mds = bm.forward(ds)
    assert_equal(len(mds), len(startpoints))
    assert_equal(mds.nfeatures, boxlength)
    # all samples attributes remain, but the can rotated/compressed into
    # multidimensional attributes
    assert_equal(sorted(mds.sa.keys()), ['boxy_onsetidx'] + sorted(ds.sa.keys()))
    assert_equal(mds.sa.multidim.shape,
            (len(startpoints), boxlength) + ds.shape[1:])
    assert_equal(mds.sa.timepoints.shape, (len(startpoints), boxlength))
    assert_array_equal(mds.sa.timepoints.flatten(),
                       np.array([(s, s+1) for s in startpoints]).flatten())
    assert_array_equal(mds.sa.boxy_onsetidx, startpoints)
    # feature attributes also get rotated and broadcasted
    assert_array_equal(mds.fa.fid, [ds.fa.fid, ds.fa.fid])
    # and finally there is a new one
    assert_array_equal(mds.fa.boxy_offsetidx, range(boxlength))

    # now see how it works on reverse()
    rds = bm.reverse(mds)
    # we got at least something of all original attributes back
    assert_equal(sorted(rds.sa.keys()), sorted(ds.sa.keys()))
    assert_equal(sorted(rds.fa.keys()), sorted(ds.fa.keys()))
    # it is not possible to reconstruct the full samples array
    # some samples even might show up multiple times (when there are overlapping
    # boxcars
    assert_array_equal(rds.samples,
                       np.array([[[ 0,  1], [ 2,  3], [ 4,  5], [ 6,  7]],
                                 [[ 8,  9], [10, 11], [12, 13], [14, 15]],
                                 [[ 8,  9], [10, 11], [12, 13], [14, 15]],
                                 [[16, 17], [18, 19], [20, 21], [22, 23]],
                                 [[32, 33], [34, 35], [36, 37], [38, 39]],
                                 [[40, 41], [42, 43], [44, 45], [46, 47]]]))
    assert_array_equal(rds.sa.timepoints, [0, 1, 1, 2, 4, 5])
    assert_array_equal(rds.sa.multidim, ds.sa.multidim[rds.sa.timepoints])
    # but feature attributes should be fully recovered
    assert_array_equal(rds.fa.fid, ds.fa.fid)

    # popular dataset configuration (double flatten + boxcar)
    cm= ChainMapper([FlattenMapper(), bm, FlattenMapper()])
    cm.train(ds)
    bflat = ds.get_mapped(cm)
    assert_equal(bflat.shape, (len(startpoints), boxlength * np.prod(ds.shape[1:])))
    # add attributes
    bflat.fa['testfa'] = np.arange(bflat.nfeatures)
    bflat.sa['testsa'] = np.arange(bflat.nsamples)
    # now try to go back
    bflatrev = bflat.mapper.reverse(bflat)
    # data should be same again, as far as the boxcars match
    assert_array_equal(ds.samples[:2], bflatrev.samples[:2])
    assert_array_equal(ds.samples[-2:], bflatrev.samples[-2:])
    # feature axis should match
    assert_equal(ds.shape[1:], bflatrev.shape[1:])
开发者ID:Anhmike,项目名称:PyMVPA,代码行数:67,代码来源:test_boxcarmapper.py


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