پیاده‌ سازی رگرسیون چندجمله‌ ای با Turicreate

# importing required python libraries 
import turicreate 
import matplotlib.pyplot as plt 
import random 

# Generating datapoints 
X = [data for data in range(1, 21)] 
Y = [random.randrange(100, 1000, 1) for data in range(20)] 

# Creating Sarrays from the generated data points 
Xs = turicreate.SArray(X, dtype=float) 
Ys = turicreate.SArray(Y, dtype=float) 

print(f"""Xs : {Xs} 
\n-------------------------------------------------------------------------------------------\n 
Ys : {Ys}""") 

# plotting the generated data 
plt.scatter(Xs, Ys) 
plt.show() 

# Creating an Sframe where all the inputs and the polynomial degree and output 
def createSframe(inputs, pol_degree): 
	datapoints = turicreate.SFrame({'x1': inputs}) 
	for degree in range(2, pol_degree+1): 
		datapoints[f'x{degree}'] = datapoints[f'x{degree-1}']*datapoints['x1'] 
	return datapoints 


# Creating a SFrame with polynomial degree 20 
data_points = createSframe(Xs, 20) 
data_points['y'] = Ys 

# showing the first 10 entries in the SFrame 
data_points.head() 

# Polynomial Regression 
features = [f'x{i}' for i in range(1, 21)] 
poly_model = turicreate.linear_regression.create( 
	data_points, features=features, target='y') 

# predicting the some data 
# Generating test datapoints 
test_X = [random.randrange(1, 60, 1) for data in range(20)] 
test_Xs = turicreate.SArray(X, dtype=float) 
test_data = createSframe(test_Xs, 5) 
data_points['predicted_y'] = poly_model.predict(test_data) 

data_points.head() 

# Measuring the accuracy 
# Generating test datapoints 
test_X = [random.randrange(1, 60, 1) for data in range(20)] 
test_Xs = turicreate.SArray(X, dtype=float) 
test_data = createSframe(test_Xs, 20) 
poly_model.evaluate(data_points) 

plt.scatter(data_points['x1'], data_points['y']) 
plt.plot(data_points['x1'], data_points['predicted_y']) 
plt.show()