本文整理汇总了Python中KNN.meanfree方法的典型用法代码示例。如果您正苦于以下问题：Python KNN.meanfree方法的具体用法？Python KNN.meanfree怎么用？Python KNN.meanfree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.meanfree方法的2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: open
# 需要导入模块: import KNN [as 别名]
# 或者: from KNN import meanfree [as 别名]
""" See the module for the explanation of each function. """
train = open('IrisTrain2014.dt', 'r')
test = open('IrisTest2014.dt', 'r')
#Calling read and split
train_set = KNN.read_data(train)
test_set = KNN.read_data(test)
transformed_test = KNN.transformtest(train_set, test_set)
print "*" * 45
print "Mean and variance"
print "*" * 45
print " Train set:"
zeromean_train = KNN.meanfree(train_set)
print "-" * 45
print " Normalized rain set:"
getting_mean_for_normalized_train = KNN.meanfree(zeromean_train)
print "-" * 45
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]示例2: open
# 需要导入模块: import KNN [as 别名]
# 或者: from KNN import meanfree [as 别名]
""" See the module for the explanation of each function. """
train = open("IrisTrain2014.dt", "r")
test = open("IrisTest2014.dt", "r")
# Calling read and split
train_set = KNN.read_data(train)
test_set = KNN.read_data(test)
print "*" * 45
print "Mean and variance"
print "*" * 45
print " Train set:"
zeromean_train = KNN.meanfree(train_set)
print "-" * 45
print "Test set"
zeromean_test = KNN.meanfree(test_set)
print "-" * 45
print "Normalized test set"
just_for_getting_mean_on_test_set = KNN.meanfree(zeromean_test)
# Different K
K = [1, 3, 5]
Kcrossval = [1, 3, 5, 7, 9, 11, 13, 15, 17, 21, 25]
Kbest = [15]
Kbest2 = [1, 21]