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23 lines
615 B
23 lines
615 B
import numpy as np
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import matplotlib.pyplot as plt
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###############################
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#Datos originales
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###############################
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X = 2 * np.random.rand(100, 1)
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y = 4 + 3 * X + np.random.randn(100,1)
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plt.plot(X,y,".")
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###############################
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X_b = np.c_[np.ones((100,1)), X] #Se agrega x0=1 para cada instancia
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theta_best=np.linalg.inv(X_b.T.dot(X_b)).dot(X_b.T).dot(y)
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X_new = np.array([[0], [2]])
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X_new_b = np.c_[np.ones((2, 1)), X_new] #Se agrega x0=1 para cada instancia
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y_predict = X_new_b.dot(theta_best)
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plt.plot(X_new, y_predict, "r-")
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plt.plot(X, y, "b.")
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plt.axis([0, 2, 0, 15])
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plt.show()
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