本文整理匯總了Python中KNN.process方法的典型用法代碼示例。如果您正苦於以下問題：Python KNN.process方法的具體用法？Python KNN.process怎麽用？Python KNN.process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.process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:
# 需要導入模塊: import KNN [as 別名]
# 或者: from KNN import process [as 別名]
'''
# Generate Image
trainDatas, trainLabels = Pretreatment.loadTrainData('/home/hadoop/workdatas/kaggle/DigitRecognizer/train_sort.csv');
trainLabels = trainLabels[0];
Pretreatment.generateImage('/home/hadoop/workdatas/kaggle/DigitRecognizer/imgs/', trainDatas, trainLabels);
'''
'''
# KNN Test
import numpy
group = numpy.array([[1.0, 1.1], [1.0, 1.0], [0, 0], [0, 0.1]])
labels = ['A', 'A', 'B', 'B']
tar = [1.0, 1.2];
result = KNN.classify(tar, group, labels, 3);
print result;
'''
# KNN Clasify
trainDatas, trainLabels = Pretreatment.loadTrainData('/home/hadoop/workdatas/kaggle/DigitRecognizer/train.csv');
trainLabels = trainLabels[0];
testDatas = Pretreatment.loadTestData('/home/hadoop/workdatas/kaggle/DigitRecognizer/test.csv');
result = KNN.process(testDatas, trainDatas, trainLabels);
Pretreatment.generateResultFile('/home/hadoop/workdatas/kaggle/DigitRecognizer/result_knn_10.csv', result);
print 'success'