face-using-lr

import pandas as pd
import numpy as np
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt

df = np.load('archive/olivetti_faces.npy')

df = df.reshape(400, 64*64)

y = np.random.randn(40000).reshape(400,100)

reg = LinearRegression().fit(y, df)
reg.score(y, df)

plt.imshow(df[np.random.randint(1, 400)].reshape(64,64), cmap='gray')
plt.show()

inp = np.random.randn(100).reshape(1,-1)
pred = reg.predict(inp)

plt.imshow(pred.reshape(64,64), cmap='gray')
plt.show()

face generation using linear Regression
just did for fun while learning