def test_SVMTrain_inputs():
input_map = dict(alphas=dict(argstr='-alpha %s',
name_source='in_file',
name_template='%s_alphas',
suffix='_alphas',
),
args=dict(argstr='%s',
),
censor=dict(argstr='-censor %s',
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
in_file=dict(argstr='-trainvol %s',
copyfile=False,
mandatory=True,
),
kernel=dict(argstr='-kernel %s',
),
mask=dict(argstr='-mask %s',
copyfile=False,
position=-1,
),
max_iterations=dict(argstr='-max_iterations %d',
),
model=dict(argstr='-model %s',
name_source='in_file',
name_template='%s_model',
suffix='_model',
),
nomodelmask=dict(argstr='-nomodelmask',
),
options=dict(argstr='%s',
),
out_file=dict(argstr='-bucket %s',
name_source='in_file',
name_template='%s_vectors',
suffix='_bucket',
),
outputtype=dict(),
terminal_output=dict(mandatory=True,
nohash=True,
),
trainlabels=dict(argstr='-trainlabels %s',
),
ttype=dict(argstr='-type %s',
mandatory=True,
),
w_out=dict(argstr='-wout',
),
)
inputs = SVMTrain.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
def test_SVMTrain_inputs():
input_map = dict(
alphas=dict(
argstr='-alpha %s',
name_source='in_file',
name_template='%s_alphas',
suffix='_alphas',
),
args=dict(argstr='%s', ),
censor=dict(argstr='-censor %s', ),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
in_file=dict(
argstr='-trainvol %s',
copyfile=False,
mandatory=True,
),
kernel=dict(argstr='-kernel %s', ),
mask=dict(
argstr='-mask %s',
copyfile=False,
position=-1,
),
max_iterations=dict(argstr='-max_iterations %d', ),
model=dict(
argstr='-model %s',
name_source='in_file',
name_template='%s_model',
suffix='_model',
),
nomodelmask=dict(argstr='-nomodelmask', ),
options=dict(argstr='%s', ),
out_file=dict(
argstr='-bucket %s',
name_source='in_file',
name_template='%s_vectors',
suffix='_bucket',
),
outputtype=dict(),
terminal_output=dict(nohash=True, ),
trainlabels=dict(argstr='-trainlabels %s', ),
ttype=dict(
argstr='-type %s',
mandatory=True,
),
w_out=dict(argstr='-wout', ),
)
inputs = SVMTrain.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
def test_SVMTrain_outputs():
output_map = dict(alphas=dict(),
model=dict(),
out_file=dict(),
)
outputs = SVMTrain.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value
def test_SVMTrain_outputs():
output_map = dict(
alphas=dict(),
model=dict(),
out_file=dict(),
)
outputs = SVMTrain.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value
