from LinearRegression import LinearRegression
X = np.random.randn(100,1)
t = np.random.randint(-100,100 ,size=(100,1)) * X
model = LinearRegression()
cost = []
for i in range(1000):
#仮説の計算
y = model.predict(X)
#目的関数（コスト関数）の値を記録
J = model.cost_function(y,t)
cost.append(J)
#パラメータの更新(学習)
model.gradient_descent(X,y,t)
# plt.plot(cost)
# plt.show()
#===========================================
# 実施
peoples = 1
price = model.predict(peoples)
print("人口が+100人の時、予測される税収の増減は %d"% price, "百万円")
#===========================================
