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