from mvpa2.misc.errorfx import mean_mismatch_error
from mvpa2.misc.transformers import Absolute, \
DistPValue
from mvpa2.measures.base import Measure, \
TransferMeasure, RepeatedMeasure, CrossValidation
from mvpa2.measures.anova import OneWayAnova, CompoundOneWayAnova
from mvpa2.measures.irelief import IterativeRelief, IterativeReliefOnline, \
IterativeRelief_Devel, IterativeReliefOnline_Devel
_MEASURES_2_SWEEP = [
OneWayAnova(),
CompoundOneWayAnova(postproc=sumofabs_sample()),
IterativeRelief(),
IterativeReliefOnline(),
IterativeRelief_Devel(),
IterativeReliefOnline_Devel()
]
if externals.exists('scipy'):
from mvpa2.measures.corrcoef import CorrCoef
_MEASURES_2_SWEEP += [
CorrCoef(),
# that one is good when small... handle later
#CorrCoef(pvalue=True)
]
class SensitivityAnalysersTests(unittest.TestCase):
def setUp(self):
self.dataset = datasets['uni2large']
from mvpa2.misc.errorfx import mean_mismatch_error
from mvpa2.misc.transformers import Absolute, \
DistPValue
from mvpa2.measures.base import Measure, \
TransferMeasure, RepeatedMeasure, CrossValidation
from mvpa2.measures.anova import OneWayAnova, CompoundOneWayAnova
from mvpa2.measures.irelief import IterativeRelief, IterativeReliefOnline, \
IterativeRelief_Devel, IterativeReliefOnline_Devel
_MEASURES_2_SWEEP = [ OneWayAnova(),
CompoundOneWayAnova(postproc=sumofabs_sample()),
IterativeRelief(), IterativeReliefOnline(),
IterativeRelief_Devel(), IterativeReliefOnline_Devel()
]
if externals.exists('scipy'):
from mvpa2.measures.corrcoef import CorrCoef
_MEASURES_2_SWEEP += [ CorrCoef(),
# that one is good when small... handle later
#CorrCoef(pvalue=True)
]
from mvpa2.featsel.base import SplitSamplesProbabilityMapper
class SensitivityAnalysersTests(unittest.TestCase):
def setUp(self):
self.dataset = datasets['uni2large']