Example #1
0
def test_SVMTest_outputs():
    output_map = dict(out_file=dict(), )
    outputs = SVMTest.output_spec()

    for key, metadata in output_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(outputs.traits()[key], metakey), value
Example #2
0
def test_SVMTest_outputs():
    output_map = dict(out_file=dict(),
    )
    outputs = SVMTest.output_spec()

    for key, metadata in output_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(outputs.traits()[key], metakey), value
Example #3
0
def test_SVMTest_inputs():
    input_map = dict(args=dict(argstr='%s',
    ),
    classout=dict(argstr='-classout',
    ),
    environ=dict(nohash=True,
    usedefault=True,
    ),
    ignore_exception=dict(nohash=True,
    usedefault=True,
    ),
    in_file=dict(argstr='-testvol %s',
    mandatory=True,
    ),
    model=dict(argstr='-model %s',
    mandatory=True,
    ),
    multiclass=dict(argstr='-multiclass %s',
    ),
    nodetrend=dict(argstr='-nodetrend',
    ),
    nopredcensord=dict(argstr='-nopredcensord',
    ),
    options=dict(argstr='%s',
    ),
    out_file=dict(argstr='-predictions %s',
    name_template='%s_predictions',
    ),
    outputtype=dict(),
    terminal_output=dict(mandatory=True,
    nohash=True,
    ),
    testlabels=dict(argstr='-testlabels %s',
    ),
    )
    inputs = SVMTest.input_spec()

    for key, metadata in input_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(inputs.traits()[key], metakey), value
Example #4
0
def test_SVMTest_inputs():
    input_map = dict(
        args=dict(argstr='%s', ),
        classout=dict(argstr='-classout', ),
        environ=dict(
            nohash=True,
            usedefault=True,
        ),
        ignore_exception=dict(
            nohash=True,
            usedefault=True,
        ),
        in_file=dict(
            argstr='-testvol %s',
            mandatory=True,
        ),
        model=dict(
            argstr='-model %s',
            mandatory=True,
        ),
        multiclass=dict(argstr='-multiclass %s', ),
        nodetrend=dict(argstr='-nodetrend', ),
        nopredcensord=dict(argstr='-nopredcensord', ),
        options=dict(argstr='%s', ),
        out_file=dict(
            argstr='-predictions %s',
            name_template='%s_predictions',
        ),
        outputtype=dict(),
        terminal_output=dict(
            mandatory=True,
            nohash=True,
        ),
        testlabels=dict(argstr='-testlabels %s', ),
    )
    inputs = SVMTest.input_spec()

    for key, metadata in input_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(inputs.traits()[key], metakey), value