PYTHON

scikit learn ridge regression

from sklearn.linear_model import Ridge
clf = Ridge(alpha=1.0)
clf.fit(X, y) #Fit Ridge regression model
clf.predict(y) #Predict using the model

sklearn ridge regression

from sklearn.linear_model import Ridge
clf = Ridge(alpha=1.0)
clf.fit(X, y) #Fit Ridge regression model
clf.predict(X) #Predict using the model
clf.score(X_test, y_test) # r squared score on test sample