本文整理汇总了Python中KNN.crossval方法的典型用法代码示例。如果您正苦于以下问题：Python KNN.crossval方法的具体用法？Python KNN.crossval怎么用？Python KNN.crossval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.crossval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:
# 需要导入模块: import KNN [as 别名]
# 或者: from KNN import crossval [as 别名]
print "Scaled test set"
just_for_getting_mean_on_scaled_test_set = KNN.meanfree(transformed_test)
print "-" * 45
#Different K
K = [1,3,5]
Kcrossval = [1,3,5,7,9,11,13,15,17,21,25]
Kbest = [15]
Kbest2 = [1,21]
#Calling KNN
print "*" * 45
print "KNN"
print "*" * 45
for k in Kcrossval: #here you can switch between different lists of K: K, Kcrosscal, Kbest, Kbest2
losstrain, losstest = KNN.eval(zeromean_train, transformed_test,k) # switch between datasets: train_set, test_set, zeromean_train, transformed_test
print "-"*45
print "Number of neighbors: \t%d" %k
print "0-1 loss train:\t%1.4f" %losstrain
print "Accuracy train:\t%1.4f" %round(1.0-losstrain,4)
print "0-1-loss test:\t%1.4f" %losstest
print "Accuracy test:\t%1.4f" %round(1.0-losstest,4)
print "-"*45
# Calling crossval
#Example on how to call: KNN.crossval(dataset, number_of folds)
KNN.crossval(train_set, 5) #Switch between zeromean_train and train_set