本文整理汇总了Python中KNN.gaussian_weight方法的典型用法代码示例。如果您正苦于以下问题：Python KNN.gaussian_weight方法的具体用法？Python KNN.gaussian_weight怎么用？Python KNN.gaussian_weight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KNN的用法示例。
在下文中一共展示了KNN.gaussian_weight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: probabilitygraph
# 需要导入模块: import KNN [as 别名]
# 或者: from KNN import gaussian_weight [as 别名]
def probabilitygraph(data, vec, upperbound, k=5, weightf = KNN.gaussian_weight, sigma = 5.0):
t = arange(0.0, upperbound, 0.1)
points = []
# get probabilities for each point
probabilities = [prob_guess(data, vec, v, v+0.1, k, weightf) for v in t]
# smooth the graph
for i in range(len(probabilities)):
sv = 0.0
for j in range(len(probabilities)):
dist = abs(i-j)*0.1
weight = KNN.gaussian_weight(dist, sigma)
sv += weight*probabilities[j]
points.append(sv)
plot(t,array(points))
show()