本文整理汇总了Python中pysgpp.Grid.serialize方法的典型用法代码示例。如果您正苦于以下问题：Python Grid.serialize方法的具体用法？Python Grid.serialize怎么用？Python Grid.serialize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.serialize方法的1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: estimateDensitySGDE
# 需要导入模块: from pysgpp import Grid [as 别名]
# 或者: from pysgpp.Grid import serialize [as 别名]
#.........这里部分代码省略.........
# define output files
gridFile = os.path.join(pathResults,
"samples_%i_%i_l%i.grid" % (iteration, n, level))
alphaFile = os.path.join(pathResults,
"samples_%i_%i_l%i.alpha.arff" % (iteration, n, level))
sampleFile = os.path.join(pathResults,
"samples_%i_%i_l%i.csv" % (iteration, n, level))
likelihoodFile = ""
if testSamplesUnit is not None:
likelihoodFile = os.path.join(pathResults,
"samples_%i_%i_l%i_likelihood.csv" % (iteration, n, level))
surfaceFile = ""
if dim == 2:
surfaceFile = os.path.join(pathResults,
"samples_%i_%i_l%i.xyz" % (iteration, n, level))
gnuplotJpegFile = os.path.join(pathResults,
"samples_%i_%i_l%i_gnuplot.jpg" % (iteration, n, level))
sgdeJpegFile = os.path.join(pathResults,
"samples_%i_%i_l%i_sgde.jpg" % (iteration, n, level))
sgdePositiveJpegFile = os.path.join(pathResults,
"samples_%i_%i_l%i_sgdePositive.jpg" % (iteration, n, level))
configFile = os.path.join(pathResults,
"sgde_%i_%i_l%i.cfg" % (iteration, n, level))
gnuplotConfig = os.path.join(pathResults,
"sgde_%i_%i_l%i.gnuplot" % (iteration, n, level))
# generate the grid
grid = Grid.createLinearBoundaryGrid(dim)
grid.createGridGenerator().regular(level)
if grid.getSize() <= n:
print " l=%i" % level,
fd = open(gridFile, "w")
fd.write(grid.serialize())
fd.close()
# write config to file
fd = open(configFile, "w")
fd.write(config % (trainSamplesUnitFile,
usingTrainTag,
testSamplesUnitFile,
likelihoodFile,
usingTestTag,
gridFile,
refNr,
refPoints,
gridFile,
alphaFile,
nSamples,
sampleFile,
surfaceFile))
fd.close()
sgdeDist = SGDEdist.byConfig(configFile)
grid, alpha = sgdeDist.grid, sgdeDist.alpha
# -----------------------------------------------------------
# do some plotting
if dim == 2:
# gnuplot
sgdeDist.gnuplot(gnuplotJpegFile, gnuplotConfig=gnuplotConfig)
# -----------------------------------------------------------
# matplotlib
l2error = np.NAN
kldivergence = np.NAN
crossEntropy = sgdeDist.crossEntropy(testSamplesUnit)