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polyfit 3d python

Fernando Mancilla answered on January 16, 2024 Popularity 1/10 Helpfulness 1/10

answer polyfit 3d python

polyfit 3d python

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from sklearn.preprocessing import PolynomialFeatures
from sklearn.linear_model import LinearRegression
X = np.random.rand(100,2)
y=X[:,0]**2-3*X[:,1]**3+2*X[:,0]*X[:,1]-5

poly = PolynomialFeatures(degree=3)
X_t = poly.fit_transform(X)

clf = LinearRegression()
clf.fit(X_t, y)
print(clf.coef_)
print(clf.intercept_)

Popularity 1/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: 3d python

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