Extended Regressor Methods

model = Regressor("data.csv", target="price").train()

model.cross_validate(cv=5)
model.tune(param_grid={"alpha": [0.1, 1, 10]})
model.tune_random(n_iter=50)
model.learning_curve()
model.permutation_importance()
model.partial_dependence("sqft")

model.save("price_model.pkl")
model = Regressor.load("price_model.pkl")