Python Curve.plot_degree_graphic 예제들

예제 #1

	def plot_graphics (self):
		obj=Curve()
		self.take_the_best_model_from_last_training()

		for i in range (len(self.list_of_projected_dataset)):
			obj.plot_2D_H (self.list_of_projected_dataset[i],self.y,self.regressors[i][self.best_est[i]],i+1)
			
		
		for i in range (len(self.models)):
			vb=list(self.list_of_projected_dataset[i])
			vb=list(vb[0])
			if (len(vb)>=2):
				obj.plot_3D_H (self.list_of_projected_dataset[i],self.y,self.regressors[i][self.best_est[i]],i+1)

		if (len(self.rec_deg)>0):
			for i in range (len(self.rec_deg)):
				obj.plot_degree_graphic(self.rec_deg[i].degree,self.rec_deg[i].j_train,self.rec_deg[i].j_cv,self.rec_deg[i].idx)

예제 #2

from sklearn.linear_model import LinearRegression

#TEST CLASS Curve - plot_2D_H
obj = Curve()

regressor = LinearRegression()
x = [[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12], [13, 14, 15, 16],
     [17, 18, 19, 20], [21, 22, 23, 24], [25, 26, 27, 28], [29, 30, 31, 32],
     [33, 34, 35, 36], [37, 38, 39, 40]]
y = [50, 32, 93, 40, 62, 150, 96025, 45, 30, 690]

regressor.fit(x, y)
theta_0 = regressor.intercept_
theta_1_4 = regressor.coef_
print(theta_0)
print(theta_1_4.shape)

obj.plot_2D_H(x, y, regressor, "1")

#TEST CLASS Curve - plot_3D_H

obj.plot_3D_H(x, y, regressor, "2")

#TEST CLASS Curve - plot_degree_graphic

degree = [1, 2, 3, 4, 5]
j_train = [1000, 850, 550, 350, 250]
j_cv = [1200, 1100, 1050, 1400, 1600]
idx = [0, 1, 2, 3, 4]
obj.plot_degree_graphic(degree, j_train, j_cv, idx)