1.4 KiB
1.4 KiB
In [2]:
from sklearn.preprocessing import PolynomialFeatures
from sklearn import linear_model
import matplotlib.pyplot as plt
X = [[0.44, 0.68], [0.99, 0.23]]
vector = [109.85, 155.72]
predict= [[0.49, 0.18], [0.47, 0.22]]
poly = PolynomialFeatures(degree=2)
X_ = poly.fit_transform(X)
predict_ = poly.fit_transform(predict)
clf = linear_model.LinearRegression()
clf.fit(X_, vector)
y=clf.predict(predict_)
print (clf.predict(predict_))
[ 126.84247142 125.01176842]
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