from sklearn.linear_model import LinearRegression from sklearn.metrics import mean_squared_error model.fit(X, Y) Y' = model.predict(X) e = error(Y, Y')
scikit-learn Usages
from sklearn.linear_model import LinearRegression from sklearn.metrics import mean_squared_error model.fit(X, Y) Y' = model.predict(X) e = error(Y, Y')