School/Bigdata
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[빅데이터처리]필기체 인식 오류율School/Bigdata 2022. 2. 8. 20:44
import sys from os import listdir import numpy as np import operator def createDataSet(dirname): labels = [] trainingList = listdir(dirname) m = len(trainingList) matrix = np.zeros((m, 1024)) for i in range(m): fileName = trainingList[i] answer = int(fileName.split('_')[0]) labels.append(answer) matrix[i, :] = imgVector(dirname + '/' + fileName) return matrix, labels def classify0(inX, dataSet, ..