def testPrewaveletdD_two(self):
from pysgpp import Grid
factory = Grid.createPrewaveletGrid(3)
training = buildTrainingVector(readDataVector('data/data_dim_3_nops_512_float.arff.gz'))
level = 4
gen = factory.createGridGenerator()
gen.regular(level)
m = generateBBTMatrix(factory, training)
m_ref = readReferenceMatrix(self, factory.getStorage(), 'data/BBT_prewavelet_dim_3_nopsgrid_111_float.dat.gz')
# compare
compareBBTMatrices(self, m, m_ref)
def testPrewaveletdD_two(self):
from pysgpp import Grid
factory = Grid.createPrewaveletGrid(3)
training = buildTrainingVector(
readDataVector('data/data_dim_3_nops_512_float.arff.gz'))
level = 4
gen = factory.createGridGenerator()
gen.regular(level)
m = generateBBTMatrix(factory, training)
m_ref = readReferenceMatrix(
self, factory.getStorage(),
'data/BBT_prewavelet_dim_3_nopsgrid_111_float.dat.gz')
# compare
compareBBTMatrices(self, m, m_ref)
def testPrewavelet1D_two(self):
from pysgpp import Grid
factory = Grid.createPrewaveletGrid(1)
training = buildTrainingVector(
readDataVector(
'../datasets/BT_BBT/data_dim_1_nops_8_float.arff.gz'))
level = 5
gen = factory.getGenerator()
gen.regular(level)
m = generateBBTMatrix(factory, training)
m_ref = readReferenceMatrix(
self, factory.getStorage(),
'../datasets/BT_BBT/BBT_prewavelet_dim_1_nopsgrid_31_float.dat.gz')
# compare
compareBBTMatrices(self, m, m_ref)
def testPrewaveletAdaptivedD_two(self):
from pysgpp import Grid, DataVector, SurplusRefinementFunctor
factory = Grid.createPrewaveletGrid(4)
training = buildTrainingVector(readDataVector('data/data_dim_4_nops_4096_float.arff.gz'))
level = 2
gen = factory.createGridGenerator()
gen.regular(level)
alpha = DataVector(factory.getStorage().size())
for i in xrange(factory.getStorage().size()):
alpha[i] = i + 1
gen.refine(SurplusRefinementFunctor(alpha, 1));
m = generateBBTMatrix(factory, training)
m_ref = readReferenceMatrix(self, factory.getStorage(), 'data/BBT_prewavelet_dim_4_nopsgrid_17_adapt_float.dat.gz')
# compare
compareBBTMatrices(self, m, m_ref)
def testPrewaveletAdaptivedD_two(self):
from pysgpp import Grid, DataVector, SurplusRefinementFunctor
factory = Grid.createPrewaveletGrid(4)
training = buildTrainingVector(
readDataVector('data/data_dim_4_nops_4096_float.arff.gz'))
level = 2
gen = factory.createGridGenerator()
gen.regular(level)
alpha = DataVector(factory.getStorage().size())
for i in xrange(factory.getStorage().size()):
alpha[i] = i + 1
gen.refine(SurplusRefinementFunctor(alpha, 1))
m = generateBBTMatrix(factory, training)
m_ref = readReferenceMatrix(
self, factory.getStorage(),
'data/BBT_prewavelet_dim_4_nopsgrid_17_adapt_float.dat.gz')
# compare
compareBBTMatrices(self, m, m_ref)
