Python KNN.gaussian_weight方法代碼示例

本文整理匯總了Python中KNN.gaussian_weight方法的典型用法代碼示例。如果您正苦於以下問題：Python KNN.gaussian_weight方法的具體用法？Python KNN.gaussian_weight怎麽用？Python KNN.gaussian_weight使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類KNN的用法示例。

在下文中一共展示了KNN.gaussian_weight方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: probabilitygraph

# 需要導入模塊: import KNN [as 別名]
# 或者: from KNN import gaussian_weight [as 別名]
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()

開發者ID:hanhanwu，項目名稱:Hanhan-Machine-Learning-Model-Implementation，代碼行數:19，代碼來源:probability_guess.py

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