Python ScikitLearn 손글씨 숫자 인식 1

 

from sklearn import datasets, svm, metrics, neighbors, model_selection, metrics
import joblib
import matplotlib.pyplot as plt

digits = datasets.load_digits()
x = digits.images
y = digits.target
x = x.reshape(-1,64)
# Reshape() 관련 참고: https://infos.tistory.com/3577

trainX, testX, trainY, testY = model_selection.train_test_split(x,y, test_size=0.2)

clf = svm.LinearSVC()
clf.fit(trainX, trainY)

predY = clf.predict(testX)
print(f"accuracy: {metrics.accuracy_score(testY, predY)}")


# 학습 상태 저장
#joblib.dump(clf, 'digits.pkl')
# 학습 상태 읽기
#clf = joblib.load('digits.pkl')

 

학습내용 저장하여

불러와 테스트 : https://infos.tistory.com/3580