Amaliy matematika va intellektual texnologiyalar fakulteti sun’iy intellekt kafedrasi kechki ta’lim amaliy matematika yo’nalish sun’iy intellekt va neyronto’rli texnologiyalar fanidan

O’ZBEKISTON RESPUBLIKASI OLIY VA O’RTA MAXSUS TA’LIM VAZIRLIGI
MIRZO ULUG’BEK NOMIDAGI O’ZBEKISTON MILLIY UNIVERSITETI


AMALIY MATEMATIKA VA INTELLEKTUAL TEXNOLOGIYALAR FAKULTETI
SUN’IY INTELLEKT KAFEDRASI
KECHKI TA’LIM
AMALIY MATEMATIKA YO’NALISH
SUN’IY INTELLEKT VA NEYRONTO’RLI TEXNOLOGIYALAR FANIDAN

3-AMALIY ISH


MAVZU: CHIZIQLI REGRESSIYA


Bajardi: Axatqulov Samandar

Qabul qildi:_____________________________


Toshkent-2023
Chiziqli Regressiya







Belgilashlar



Yo’qotish funksiyasi


Funksiyanu minimallashtirish


Dastur:
import matplotlib
import matplotlib.pyplot as p
matplotlib.use('TkAgg')
import numpy as np
x_soat = np.array([5.0,6.0,7.0])
y_baho = np.array([3.0,5.0,8.0])
def forward(x):
return x*w
def loss(x,y):
y_pred = forward(x)
return (y_pred-y)**2
w_list = []
mse_list = []
for w in np.arange(0.0,7.1,0.1):
print("w = {:.3f}".format(w))
L_umum = 0
for x_hb_qiym, y_hb_qiym in zip(x_soat,y_baho):
y_hb_bash = forward(x_hb_qiym)
L_hb_qiym = loss(x_hb_qiym,y_hb_qiym)
L_umum += L_hb_qiym
print("\t","{:.2f},{:.2f},{:.2f},{:.2f}".format(x_hb_qiym, y_hb_qiym, y_hb_bash, L_hb_qiym))
MSE = L_umum/len(x_soat)
print("MSE=", MSE)
w_list.append(w)
mse_list.append(MSE)
for i, j in zip(w_list, mse_list):
if j == min(mse_list):
print("loss minimumdagi w ning qiymati = ", i)
p.title('Xatolik funksiyasi')
p.ylabel("loss")
p.xlabel("w")
ax = p.axes()
ax.set_facecolor("yellow")
p.plot(w_list, mse_list, color="red")
p.show()