Reputation: 1
i am trying to do a polynomial fit to my data and the output is a linear fit. i am trying to understand where my mistake is.
regr2 = PolynomialFeatures(degree=2)
regr2.fit_transform(diabetes_X_train, diabetes_y_train)
regr2 = PolynomialFeatures(interaction_only=True)
regr2.fit_transform(diabetes_X_train, diabetes_y_train)
regr = LinearRegression()
regr.fit(diabetes_X_train, diabetes_y_train)
diabetes_y_pred = regr.predict(diabetes_X_test)
plt.scatter(diabetes_X_test, diabetes_y_test, color='blue')
plt.plot(diabetes_X_test, diabetes_y_pred, color='red', linewidth=1)
Upvotes: 0
Views: 156
Reputation: 382
It's doing it because you told it to.
regr = LinearRegression()
You are plotting "diabetes_y_pred," which comes from "regr.fit" and regr is defined above with "LinearRegression()."
https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html
Upvotes: 1