本文整理汇总了Python中pysgpp.Grid.createPrewaveletGrid方法的典型用法代码示例。如果您正苦于以下问题：Python Grid.createPrewaveletGrid方法的具体用法？Python Grid.createPrewaveletGrid怎么用？Python Grid.createPrewaveletGrid使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pysgpp.Grid的用法示例。
在下文中一共展示了Grid.createPrewaveletGrid方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: testPrewaveletdD_two
# 需要导入模块: from pysgpp import Grid [as 别名]
# 或者: from pysgpp.Grid import createPrewaveletGrid [as 别名]
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)示例2: testPrewaveletAdaptivedD_two
# 需要导入模块: from pysgpp import Grid [as 别名]
# 或者: from pysgpp.Grid import createPrewaveletGrid [as 别名]
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)