本文整理汇总了Python中nupic.bindings.algorithms.SpatialPooler.getOverlapDutyCycles方法的典型用法代码示例。如果您正苦于以下问题：Python SpatialPooler.getOverlapDutyCycles方法的具体用法？Python SpatialPooler.getOverlapDutyCycles怎么用？Python SpatialPooler.getOverlapDutyCycles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.bindings.algorithms.SpatialPooler的用法示例。
在下文中一共展示了SpatialPooler.getOverlapDutyCycles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: testUpdateDutyCycles
# 需要导入模块: from nupic.bindings.algorithms import SpatialPooler [as 别名]
# 或者: from nupic.bindings.algorithms.SpatialPooler import getOverlapDutyCycles [as 别名]
def testUpdateDutyCycles(self):
sp = SpatialPooler(inputDimensions = [5],
columnDimensions = [5])
initOverlapArr1 = np.array([1, 1, 1, 1, 1], dtype=realDType)
sp.setOverlapDutyCycles(initOverlapArr1);
overlaps = np.array([1, 5, 7, 0, 0], dtype=uintDType)
active = np.array([0, 0, 0, 0, 0], dtype=uintDType)
sp.setIterationNum(2)
sp._updateDutyCycles(overlaps, active);
resultOverlapArr1 = np.zeros(5, dtype=realDType)
sp.getOverlapDutyCycles(resultOverlapArr1)
trueOverlapArr1 = np.array([1, 1, 1, 0.5, 0.5], dtype=realDType)
self.assertEqual(list(resultOverlapArr1), list(trueOverlapArr1))
sp.setOverlapDutyCycles(initOverlapArr1);
sp.setIterationNum(2000);
sp.setUpdatePeriod(1000);
sp._updateDutyCycles(overlaps, active);
resultOverlapArr2 = np.zeros(5, dtype=realDType)
sp.getOverlapDutyCycles(resultOverlapArr2);
trueOverlapArr2 = np.array([1, 1, 1, 0.999, 0.999], dtype=realDType)
self.assertEqual(list(resultOverlapArr2), list(trueOverlapArr2))示例2: SpatialPoolerAPITest
# 需要导入模块: from nupic.bindings.algorithms import SpatialPooler [as 别名]
# 或者: from nupic.bindings.algorithms.SpatialPooler import getOverlapDutyCycles [as 别名]
#.........这里部分代码省略.........
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))
def testGetBoostFactors(self):
numInputs = 3
numColumns = 3
self.sp.initialize(columnDimensions=[numInputs],
inputDimensions=[numColumns])
inParam = numpy.array([1, 1.2, 1.3, ]).astype(realType)
self.sp.setBoostFactors(inParam)
outParam = numpy.zeros(numInputs).astype(realType)
self.sp.getBoostFactors(outParam)
self.assertListEqual(list(inParam),list(outParam))
def testGetOverlapDutyCycles(self):
numInputs = 3
numColumns = 3
self.sp.initialize(columnDimensions=[numInputs],
inputDimensions=[numColumns])
inParam = numpy.array([0.9, 0.3, 0.1]).astype(realType)
self.sp.setOverlapDutyCycles(inParam)
outParam = numpy.zeros(numInputs).astype(realType)
self.sp.getOverlapDutyCycles(outParam)
self.assertListEqual(list(inParam),list(outParam))
def testGetActiveDutyCycles(self):
numInputs = 3
numColumns = 3
self.sp.initialize(columnDimensions=[numInputs],
inputDimensions=[numColumns])
inParam = numpy.array([0.9, 0.99, 0.999, ]).astype(realType)
self.sp.setActiveDutyCycles(inParam)
outParam = numpy.zeros(numInputs).astype(realType)
self.sp.getActiveDutyCycles(outParam)
self.assertListEqual(list(inParam),list(outParam))
def testGetMinOverlapDutyCycles(self):
numInputs = 3
numColumns = 3
self.sp.initialize(columnDimensions=[numInputs],
inputDimensions=[numColumns])
inParam = numpy.array([0.01, 0.02, 0.035, ]).astype(realType)
self.sp.setMinOverlapDutyCycles(inParam)
outParam = numpy.zeros(numInputs).astype(realType)
self.sp.getMinOverlapDutyCycles(outParam)
self.assertListEqual(list(inParam),list(outParam))
def testGetPotential(self):
self.sp.initialize(columnDimensions=[3], inputDimensions=[3])
numInputs = 3
numColumns = 3
self.sp.initialize(columnDimensions=[numInputs],