Function predict

AdaBoost/AdaBoost.py:199–214

输出单独层预测结果 :param x: 预测样本 :param div: 划分点 :param rule: 划分规则 :param feature: 进行操作的特征 :return:

(x, div, rule, feature)

    return tree

def predict(x, div, rule, feature):
    '''
    输出单独层预测结果
    :param x: 预测样本
    :param div: 划分点
    :param rule: 划分规则
    :param feature: 进行操作的特征
    :return:
    '''
    #依据划分规则定义小于及大于划分点的标签
    if rule == 'LisOne':    L = 1; H = -1
    else:                   L = -1; H = 1

    #判断预测结果
    if x[feature] < div: return L
    else:   return H

def model_test(testDataList, testLabelList, tree):
    ''&#x27;