#very_short_tutorial -> Season sklearn, Episode 1
نحوه ایجاد و تست رگرسیون خطی در sklearn
from sklearn.linear_model import LinearRegression
import numpy as np
lr = LinearRegression()
x=np.reshape(np.array([1.0,2.0,3.0]),(3,1))
y=np.reshape(np.array([-45,14,5]),(3,1))
lr.fit(x,y)
print(lr.predict(np.reshape([2,5,6],(3,1))))
print(lr.coef_)
6 · 1.5K · Thread #very_short_tutorial -> Season sklearn, Episode 1
4 Nachrichten · –Π M Π