Дополните листинг алгоритма линейной регрессии:from sklearn.linear_model import Blank 1 Вопрос 2 transformLogisticRegressionLinearRegressionKNeighborsClassifierfitSVC as Modeldef train(features, target): model = Model() model.Blank 2 Вопрос 2 transformLogisticRegressionLinearRegressionKNeighborsClassifierfitSVC (features, target) return model
def predict(model, new_features): preds = model.predict(new_features) return preds
model = train(AutoMPG_feats, AutoMPG_target)
predictions = predict(model, AutoMPG_test)