本文整理汇总了Python中nupic.research.spatial_pooler.SpatialPooler.setSynPermConnected方法的典型用法代码示例。如果您正苦于以下问题：Python SpatialPooler.setSynPermConnected方法的具体用法？Python SpatialPooler.setSynPermConnected怎么用？Python SpatialPooler.setSynPermConnected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nupic.research.spatial_pooler.SpatialPooler的用法示例。
在下文中一共展示了SpatialPooler.setSynPermConnected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: SpatialPoolerAPITest
# 需要导入模块: from nupic.research.spatial_pooler import SpatialPooler [as 别名]
# 或者: from nupic.research.spatial_pooler.SpatialPooler import setSynPermConnected [as 别名]
#.........这里部分代码省略.........
self.assertEqual(inParam, outParam)
def testGetSynPermTrimThreshold(self):
inParam = 0.7
self.sp.setSynPermTrimThreshold(inParam)
outParam = self.sp.getSynPermTrimThreshold()
self.assertAlmostEqual(inParam, outParam)
def testGetSynPermActiveInc(self):
inParam = 0.567
self.sp.setSynPermActiveInc(inParam)
outParam = self.sp.getSynPermActiveInc()
self.assertAlmostEqual(inParam, outParam)
def testGetSynPermInactiveDec(self):
inParam = 0.123
self.sp.setSynPermInactiveDec(inParam)
outParam = self.sp.getSynPermInactiveDec()
self.assertAlmostEqual(inParam, outParam)
def testGetSynPermBelowStimulusInc(self):
inParam = 0.0898
self.sp.setSynPermBelowStimulusInc(inParam)
outParam = self.sp.getSynPermBelowStimulusInc()
self.assertAlmostEqual(inParam, outParam)
def testGetSynPermConnected(self):
inParam = 0.514
self.sp.setSynPermConnected(inParam)
outParam = self.sp.getSynPermConnected()
self.assertAlmostEqual(inParam, outParam)
def testGetMinPctOverlapDutyCycles(self):
inParam = 0.11122
self.sp.setMinPctOverlapDutyCycles(inParam)
outParam = self.sp.getMinPctOverlapDutyCycles()
self.assertAlmostEqual(inParam, outParam)
def testGetMinPctActiveDutyCycles(self):
inParam = 0.444333
self.sp.setMinPctActiveDutyCycles(inParam)
outParam = self.sp.getMinPctActiveDutyCycles()
self.assertAlmostEqual(inParam, outParam)
def testGetPermanence(self):
numInputs = 5
numColumns = 5
self.sp.initialize(columnDimensions=[numInputs],
inputDimensions=[numColumns],
potentialRadius=1,
potentialPct=1)
inParam = numpy.array(
[0.06, 0.07, 0.08, 0.12, 0.13]).astype(realType)
self.sp.setPermanence(0,inParam)
outParam = numpy.zeros(numInputs).astype(realType)
self.sp.getPermanence(0, outParam)
self.assertListEqual(list(inParam),list(outParam))