本文整理汇总了Python中nupic.research.spatial_pooler.SpatialPooler.getOverlaps方法的典型用法代码示例。如果您正苦于以下问题：Python SpatialPooler.getOverlaps方法的具体用法？Python SpatialPooler.getOverlaps怎么用？Python SpatialPooler.getOverlaps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.getOverlaps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: vector
# 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 getOverlaps [as 别名]
# A column connects to a subset of the input vector (specified
# by both the potentialRadius and potentialPct). The overlap score
# for a column is the number of connections to the input that become
# active when presented with a vector. When learning is 'on' in the SP,
# the active connections are reinforced, whereas those inactive are
# depressed (according to parameters synPermActiveInc and synPermInactiveDec.
# In order for the SP to create a sparse representation of the input, it
# will select a small percentage (usually 2%) of its most active columns,
# ie. columns with the largest overlap score.
# In this first part, we will create a histogram showing the overlap scores
# of the Spatial Pooler (SP) after feeding it with a random binary
# input. As well, the histogram will show the scores of those columns
# that are chosen to build the sparse representation of the input.
sp.compute(inputArray, False, activeCols)
overlaps = sp.getOverlaps()
activeColsScores = []
for i in activeCols.nonzero():
activeColsScores.append(overlaps[i])
print ""
print "---------------------------------"
print "Figure 1 shows an histogram of the overlap scores"
print "from all the columns in the spatial pooler, as well as the"
print "overlap scores of those columns that were selected to build a"
print "sparse representation of the input (shown in green)."
print "The SP chooses 2% of the columns with the largest overlap score"
print "to make such sparse representation."
print "---------------------------------"
print ""