Sklearn多种算法实现人脸补全

1 导入需要的类库

import matplotlib.pyplot as plt

from sklearn.linear_model import LinearRegression,Ridge,Lasso
from sklearn.tree import DecisionTreeRegressor
from sklearn.neighbors import KNeighborsRegressor
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestRegressor
import numpy as np

2拉取数据集

faces=datasets.fetch_olivetti_faces()
images=faces.images
display(images.shape)

index=np.random.randint(0,400,size=1)[0]

img=images[index]
plt.figure(figsize=(3,3))
plt.imshow(img,cmap=plt.cm.gray)

3 处理图片数据（将人脸图片分为上下两部分）